{"schema_version":"onlylabs.public_analysis.v1","url":"https://onlylabs.fyi/analysis/parasail","json_url":"https://onlylabs.fyi/analysis/parasail/analysis.json","evidence_json_url":"https://onlylabs.fyi/analysis/parasail/evidence.json","generated_at":"2026-06-27T22:31:04.722Z","analysis":{"org_slug":"parasail","url":"https://onlylabs.fyi/analysis/parasail","json_url":"https://onlylabs.fyi/analysis/parasail/analysis.json","evidence_json_url":"https://onlylabs.fyi/analysis/parasail/evidence.json","dossier_url":"https://onlylabs.fyi/labs/parasail","org":{"slug":"parasail","name":"Parasail","category":"neocloud","category_label":"Neocloud","homepage_url":"https://parasail.io"},"title":"Parasail analysis","summary":"Parasail is an early-stage AI infrastructure company (Series A, $32M raised, $160M valuation) building a serverless inference cloud that aggregates distributed GPU supply into an OpenAI-compatible platform for open-weight models. The company positions itself as a GPU-network orchestration layer: workloads are automatically matched across a multi-provider GPU network, freeing developers from vendor lock-in and…","markdown":"## Thesis\n\nParasail is an early-stage AI infrastructure company (Series A, $32M raised, $160M valuation) [W4](https://aifunding.me/companies)[W6](https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/) building a serverless inference cloud that aggregates distributed GPU supply into an OpenAI-compatible platform for open-weight models [P1](https://job-boards.greenhouse.io/parasail/jobs/5115842008)[P9](https://github.com/parasail-ai/openai-batch)[W1](https://github.com/anomalyco/models.dev/pull/2031). The company positions itself as a GPU-network orchestration layer: workloads are automatically matched across a multi-provider GPU network, freeing developers from vendor lock-in and fragmented supply negotiations [P1](https://job-boards.greenhouse.io/parasail/jobs/5115842008)[W6](https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/). Its public catalog spans 31 serverless models [W1](https://github.com/anomalyco/models.dev/pull/2031), and it actively courts model producers as a \"day-zero\" launch partner for new frontier releases [W2](https://www.linkedin.com/posts/mike-henry-72204123_excited-to-be-zero-day-launch-partners-with-activity-7471233095640223744-rNzg).\n\nThe evidence shows a company transitioning from core infrastructure buildout toward commercialization: hiring its first Account Executives, Head of Developer Relations, and Product Manager [P2](https://job-boards.greenhouse.io/parasail/jobs/5119678008)[P6](https://job-boards.greenhouse.io/parasail/jobs/5210676008)[P7](https://job-boards.greenhouse.io/parasail/jobs/5121414008), while continuing to invest in distributed systems, LLM performance engineering, and AI prototyping [P3](https://job-boards.greenhouse.io/parasail/jobs/5107617008)[P4](https://job-boards.greenhouse.io/parasail/jobs/5107916008)[P5](https://job-boards.greenhouse.io/parasail/jobs/5107876008). The fork map reveals broad technical surface area across inference serving (vLLM), GPU kernel optimization (Triton), training infrastructure (torchtitan), evaluation (VLMEvalKit, simple-evals), and synthetic data curation (Curator) [P17](https://github.com/parasail-ai/vllm-public)[P19](https://github.com/parasail-ai/torchtitan)[P20](https://github.com/parasail-ai/VLMEvalKit)[P22](https://github.com/parasail-ai/curator)[E12](https://github.com/parasail-ai/triton)[E32](https://github.com/parasail-ai/simple-evals). The most sustained public artifact is the `openai-batch` Python library, which has seen 15+ releases and serves as both a developer onboarding tool and a subtle demand aggregator for Parasail's own inference endpoints [P9](https://github.com/parasail-ai/openai-batch).\n\n## Signal desks\n\n### Hiring\n\n- **Platform engineering (fullstack + distributed systems):** Senior Fullstack Engineer (SF Bay Area) to build inference dashboards, orchestration UIs, APIs, billing, and real-time streaming interfaces [P1](https://job-boards.greenhouse.io/parasail/jobs/5115842008)[E6](https://job-boards.greenhouse.io/parasail/jobs/5115842008); Senior Distributed Systems Engineer (SF Bay Area) focused on microservice architecture, Java/Spring Boot/Golang, cloud-native deployment, and security [P5](https://job-boards.greenhouse.io/parasail/jobs/5107876008)[E3](https://job-boards.greenhouse.io/parasail/jobs/5107876008)[W5](https://jobs.digitalhire.com/job-listing/opening/4M3K9ouPa4VnebOHFqzSbk). These roles suggest a maturing platform moving from MVP toward production-grade reliability and observability.\n- **LLM performance optimization:** Senior Software Engineer, LLM Performance (SF Bay Area) [P3](https://job-boards.greenhouse.io/parasail/jobs/5107617008)[E9](https://job-boards.greenhouse.io/parasail/jobs/5107617008) — a role dedicated to inference performance, implying in-house investment in throughput, latency, and cost optimization atop the GPU network.\n- **AI prototyping and experimentation:** Senior AI Engineer (SF Bay Area) tasked with rapid prototyping of LLM-powered workflows, voice/audio pipelines, embeddings, vector DBs, and prompt engineering [P4](https://job-boards.greenhouse.io/parasail/jobs/5107916008)[E8](https://job-boards.greenhouse.io/parasail/jobs/5107916008). Indicates a fast-feedback product exploration loop adjacent to core platform engineering.\n- **Product management:** Product Manager (San Mateo, CA) to own platform roadmap, 0-to-1 launches for custom model hosting, agentic workflow support, voice agent infrastructure, and enterprise management [P2](https://job-boards.greenhouse.io/parasail/jobs/5119678008)[E7](https://job-boards.greenhouse.io/parasail/jobs/5119678008). Signals ambition to expand beyond serverless inference into higher-order developer abstractions.\n- **Developer relations and GTM:** Head of Developer Relations as first dedicated developer-facing hire — owning docs, benchmarks, tutorials, Discord, and community presence on r/LocalLLaMA and HN [P6](https://job-boards.greenhouse.io/parasail/jobs/5210676008)[E2](https://job-boards.greenhouse.io/parasail/jobs/5210676008); Account Executive roles as first sales hires to build pipeline, run demos, and close initial customers [P7](https://job-boards.greenhouse.io/parasail/jobs/5121414008)[E4](https://job-boards.greenhouse.io/parasail/jobs/5121414008). Both signal commercialization and ecosystem-building.\n- **Expression of Interest:** General intake pipeline, SF Bay Area [P8](https://job-boards.greenhouse.io/parasail/jobs/4092794008)[E5](https://job-boards.greenhouse.io/parasail/jobs/4092794008), consistent with a startup scaling headcount broadly.\n\n### Forks\n\n- **Inference serving:** `parasail-ai/vllm-public` (fork of vllm-project/vllm), last pushed Sep 2024 [P17](https://github.com/parasail-ai/vllm-public)[E35](https://github.com/parasail-ai/vllm-public). Core inference engine dependency; the fork precedes much of the openai-batch release activity and suggests early exploration and possible customization of vLLM's serving stack.\n- **GPU kernel optimization:** `parasail-ai/triton` (fork of triton-lang/triton), forked Dec 2025 with a 3.5.1 release tag [E11](https://github.com/parasail-ai/triton/releases/tag/3.5.1)[E12](https://github.com/parasail-ai/triton). Indicates engagement at the kernel level for custom inference optimizations.\n- **Training infrastructure:** `parasail-ai/torchtitan` (fork of pytorch/torchtitan), forked Jun 2024 [P19](https://github.com/parasail-ai/torchtitan)[E33](https://github.com/parasail-ai/torchtitan). Despite Parasail's inference-focused positioning, this fork suggests early interest in large-model training workflows, possibly for fine-tuning capabilities.\n- **Evaluation:** `parasail-ai/VLMEvalKit` (fork of open-compass/VLMEvalKit), forked Dec 2024 [P20](https://github.com/parasail-ai/VLMEvalKit)[E27](https://github.com/parasail-ai/VLMEvalKit); `parasail-ai/simple-evals` (fork of openai/simple-evals), forked Jul 2024 [E32](https://github.com/parasail-ai/simple-evals). Both signal internal benchmarking needs — evaluating vision-language models and LLM performance, likely to validate models served on the platform.\n- **Synthetic data and post-training:** `parasail-ai/curator` (fork of bespokelabsai/curator), forked May 2025 and actively pushed as recently as Jun 2026 [P22](https://github.com/parasail-ai/curator)[E19](https://github.com/parasail-ai/curator). Curator is a bulk inference and synthetic data curation tool for post-training. The fork suggests interest in dataset generation pipelines, potentially supporting fine-tuning or structured data extraction workloads for customers.\n- **Model internals:** `parasail-ai/mistral-common` (fork of mistralai/mistral-common), forked Oct 2025 [E16](https://github.com/parasail-ai/mistral-common). Suggests working with Mistral model internals, tokenizers, or inference code.\n- **Platform infrastructure:** `parasail-ai/loki` (fork of grafana/loki), forked Jun 2024 [P18](https://github.com/parasail-ai/loki)[E34](https://github.com/parasail-ai/loki); `parasail-ai/traefik-forward-auth` (fork of thomseddon/traefik-forward-auth), forked Mar 2025 [P21](https://github.com/parasail-ai/traefik-forward-auth)[E24](https://github.com/parasail-ai/traefik-forward-auth). Standard infrastructure tooling for observability and authentication in a cloud deployment context — low-signal individually but confirms production operations.\n\n### Releases\n\n- **openai-batch library (primary release artifact):** 15+ releases from v0.1 (Nov 2024) through v0.3.4 (Nov 2025) [E10](https://github.com/parasail-ai/openai-batch)[E13](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.4)[E14](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.3)[E17](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.2)[E18](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.1)[E25](https://github.com/parasail-ai/openai-batch/releases/tag/v0.1.4)[E26](https://github.com/parasail-ai/openai-batch/releases/tag/v0.1.3). The library wraps OpenAI-compatible batch inference across providers (OpenAI and Parasail) [P9](https://github.com/parasail-ai/openai-batch). Key evolution: reranker support via `/v1/score` endpoint (v0.3, Apr 2025) [P12](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3)[E20](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3); transfusion model support for OmniGen (v0.3.1, Jun 2025) [P13](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.1)[E18](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.1); image understanding examples and `data_url` utility (v0.3.3, Nov 2025) [P15](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.3)[E14](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.3); packaging and lint cleanup (v0.3.4, Nov 2025) [P16](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.4)[E13](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.4). Each feature addition expands the library's utility surface and, by extension, the workloads Parasail can attract to its inference endpoints.\n- **triton fork release:** `parasail-ai/triton` v3.5.1 (Dec 2025) [E11](https://github.com/parasail-ai/triton/releases/tag/3.5.1). Confirms active development on the Triton fork beyond passive mirroring.\n- **speedboat-pub:** Internal take-home assessment repo for engineering candidates (May 2026) [P23](https://github.com/parasail-ai/speedboat-pub)[E1](https://github.com/parasail-ai/speedboat-pub). Not a product release, but confirms active hiring pipeline for the Speedboat product engineering team and provides a rare window into internal team structure (APIs, agents, developer tooling, billing, auth).\n\n### Talking\n\n- **Day-zero model launch partnering:** CEO Mike Henry announced Parasail as a zero-day launch partner for MiniMax M3, describing it as \"the first open-weight model to combine frontier coding and agent capabilities, a 1M-token context window, and native multimodal understanding\" [W2](https://www.linkedin.com/posts/mike-henry-72204123_excited-to-be-zero-day-launch-partners-with-activity-7471233095640223744-rNzg). This public positioning frames Parasail not just as infrastructure but as a launch-distribution channel for frontier open-weight models.\n- **Pricing leadership on Asian frontier models:** Parasail is cited as the cheapest tracked provider for Kimi K2.6 at ~$1.15/M tokens blended, undercutting the official Moonshot API [W3](https://www.fourfoldai.com/post/kimi-k2-6-and-the-expansion-of-asian-frontier-ai-labs-the-new-global-ai-race). This reinforces the cost-optimization narrative and suggests competitive pricing as a core GTM lever.\n- **Model catalog expansion:** A PR to add Parasail as a provider on anomalyco/models.dev lists 31 serverless models including DeepSeek V4, Gemma 4, GLM 5, Kimi K2.5/K2.6, Qwen3/3.5/3.6, GPT-OSS, and MiniMax M2.5 [W1](https://github.com/anomalyco/models.dev/pull/2031). The catalog breadth and inclusion of reasoning models (with reviewer noting missing `reasoning_options`) indicates a multi-model, multi-provider aggregation strategy.\n- **Funding narrative:** Coverage of the $32M Series A frames Parasail as solving GPU supply fragmentation — \"deploy custom AI at massive scale without negotiating contracts, managing fragmented GPU supply, or hiring performance engineering teams\" [W6](https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/). The funding tracker lists them at $160M valuation under \"AI Infrastructure\" [W4](https://aifunding.me/companies).\n- **Content gap:** No cited evidence of blog posts, research papers, or HN-frontpage discussion authored by Parasail itself — the talking evidence is primarily external coverage, partnership announcements, and catalog listings.\n\n## Shipping\n\nParasail's primary shipped artifact is the `openai-batch` Python library (Apache-2.0 licensed, available on PyPI as `openai-batch`) [P9](https://github.com/parasail-ai/openai-batch). It has seen sustained release cadence from November 2024 through November 2025, evolving from basic batch inference submission to a multi-modal, multi-provider batch client supporting chat completions, embeddings, reranking (v0.3), transfusion models (v0.3.1), and image understanding (v0.3.3) [P9](https://github.com/parasail-ai/openai-batch).\n\nThe `ocr_pipeline` repo (Nov 2025) represents a vertical application: a FastAPI-based document ingestion and OCR extraction app using Parasail's API, Azure Blob Storage, and PostgreSQL, with CI/CD to Azure App Service [P11](https://github.com/parasail-ai/ocr_pipeline)[E15](https://github.com/parasail-ai/ocr_pipeline). This suggests Parasail is prototyping reference architectures for enterprise document workflows.\n\nThe `cookbook` repo (Oct 2024, last pushed Mar 2025) in Jupyter Notebook format [P10](https://github.com/parasail-ai/cookbook)[E31](https://github.com/parasail-ai/cookbook) indicates developer education content, though with 0 stars it appears to have minimal public traction.\n\nThe `speedboat-pub` repo (May 2026) reveals internal team structure — \"Speedboat\" is the product engineering team owning APIs, agents, developer tooling, billing, authentication, and UX — but contains no shipped product code, only a hiring take-home exercise [P23](https://github.com/parasail-ai/speedboat-pub)[E1](https://github.com/parasail-ai/speedboat-pub).\n\n## Research themes\n\nEvidence for active research is thin. The fork map suggests applied research interests rather than fundamental research output:\n\n- **Inference optimization:** Forks of vLLM and Triton [P17](https://github.com/parasail-ai/vllm-public)[E12](https://github.com/parasail-ai/triton)[E35](https://github.com/parasail-ai/vllm-public) point to throughput/latency optimization work for serving open-weight models at scale.\n- **Evaluation methodology:** Forks of VLMEvalKit and simple-evals [P20](https://github.com/parasail-ai/VLMEvalKit)[E27](https://github.com/parasail-ai/VLMEvalKit)[E32](https://github.com/parasail-ai/simple-evals) suggest internal benchmarking against standardized evaluation suites, likely to validate and compare models offered on the platform.\n- **Synthetic data and post-training:** The Curator fork [P22](https://github.com/parasail-ai/curator)[E19](https://github.com/parasail-ai/curator) is the strongest signal of research-adjacent activity — Curator is designed for synthetic data curation for post-training, suggesting Parasail may be exploring fine-tuning or dataset-generation capabilities.\n- **Training infrastructure awareness:** The torchtitan fork [P19](https://github.com/parasail-ai/torchtitan)[E33](https://github.com/parasail-ai/torchtitan) indicates at least exploratory interest in large-model training, though no evidence of training output (models, papers, checkpoints) exists in this pack.\n\nNo cited evidence of published research papers, technical reports, or model releases from Parasail itself.\n\n## Hiring & scaling\n\nParasail is hiring across 7 distinct roles (plus expression-of-interest intake), all concentrated in the SF Bay Area / San Mateo corridor . The hiring pattern reveals a three-track buildout:\n\n1. **Core infrastructure track:** Distributed Systems [P5](https://job-boards.greenhouse.io/parasail/jobs/5107876008)[E3](https://job-boards.greenhouse.io/parasail/jobs/5107876008) and LLM Performance [P3](https://job-boards.greenhouse.io/parasail/jobs/5107617008)[E9](https://job-boards.greenhouse.io/parasail/jobs/5107617008) roles sustain the GPU orchestration and inference optimization foundation.\n2. **Product and experience track:** Fullstack [P1](https://job-boards.greenhouse.io/parasail/jobs/5115842008)[E6](https://job-boards.greenhouse.io/parasail/jobs/5115842008), AI Engineer [P4](https://job-boards.greenhouse.io/parasail/jobs/5107916008)[E8](https://job-boards.greenhouse.io/parasail/jobs/5107916008), and Product Manager [P2](https://job-boards.greenhouse.io/parasail/jobs/5119678008)[E7](https://job-boards.greenhouse.io/parasail/jobs/5119678008) roles build the customer-facing platform layer — dashboards, APIs, agent workflows, voice infrastructure, billing, and access control.\n3. **Commercialization track:** Head of Developer Relations [P6](https://job-boards.greenhouse.io/parasail/jobs/5210676008)[E2](https://job-boards.greenhouse.io/parasail/jobs/5210676008) and Account Executive [P7](https://job-boards.greenhouse.io/parasail/jobs/5121414008)[E4](https://job-boards.greenhouse.io/parasail/jobs/5121414008) roles represent first dedicated GTM hires, signaling transition from infrastructure-only to revenue-generating operations.\n\nThe Product Manager role explicitly calls for building \"agentic workflow support, voice agent infrastructure, and enterprise management capabilities\" [P2](https://job-boards.greenhouse.io/parasail/jobs/5119678008), suggesting near-term product expansion beyond inference into higher-margin developer abstractions.\n\nThe `speedboat-pub` take-home exercise reveals that Parasail organizes product engineering under a \"Speedboat\" team responsible for \"APIs, agents, developer tooling, billing, authentication, API key management, and overall user experience\" [P23](https://github.com/parasail-ai/speedboat-pub), distinct from the core inference platform team.\n\n## Category implications\n\n- **Infrastructure and GPU aggregation:** Parasail's core thesis — \"token-maximizing economics to scale and finance compute infrastructure\" [W4](https://aifunding.me/companies) and a GPU-network orchestration engine [W6](https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/) — places it in the GPU aggregator category alongside peers like Together AI, Fireworks, and RunPod. The fork map (vLLM, Triton) [P17](https://github.com/parasail-ai/vllm-public)[E12](https://github.com/parasail-ai/triton)[E35](https://github.com/parasail-ai/vllm-public) suggests build-over-buy on inference serving, while the distributed systems hiring [P5](https://job-boards.greenhouse.io/parasail/jobs/5107876008)[E3](https://job-boards.greenhouse.io/parasail/jobs/5107876008) confirms investment in proprietary orchestration.\n- **Multi-model catalog strategy:** The 31-model catalog spanning DeepSeek, Qwen, Gemma, Kimi, GLM, MiniMax, and GPT-OSS families [W1](https://github.com/anomalyco/models.dev/pull/2031) positions Parasail as a model-neutral inference layer. The day-zero launch partnership with MiniMax [W2](https://www.linkedin.com/posts/mike-henry-72204123_excited-to-be-zero-day-launch-partners-with-activity-7471233095640223744-rNzg) and competitive pricing on Kimi K2.6 [W3](https://www.fourfoldai.com/post/kimi-k2-6-and-the-expansion-of-asian-frontier-ai-labs-the-new-global-ai-race) suggest a strategy of riding the open-weight model proliferation wave — being fastest and cheapest to serve each new frontier release.\n- **Product expansion signals:** The Product Manager role's scope — agentic workflows, voice agent infrastructure, dedicated/serverless deployment modes [P2](https://job-boards.greenhouse.io/parasail/jobs/5119678008) — combined with the Senior AI Engineer's prototyping mandate (voice, real-time AI, embeddings) [P4](https://job-boards.greenhouse.io/parasail/jobs/5107916008) suggests Parasail intends to move up the stack from raw inference to opinionated developer platforms for agents and multimodal applications.\n- **Enterprise GTM:** The OCR pipeline reference app (contract documents, Azure integration) [P11](https://github.com/parasail-ai/ocr_pipeline) and Account Executive hiring [P7](https://job-boards.greenhouse.io/parasail/jobs/5121414008)[E4](https://job-boards.greenhouse.io/parasail/jobs/5121414008) point to enterprise use cases in document processing. The Azure-centric deployment (Azure Blob Storage, Azure PostgreSQL, Azure App Service) [P11](https://github.com/parasail-ai/ocr_pipeline) may indicate an Azure partnership or customer concentration.\n- **Thin evidence areas:** No cited evidence of fine-tuning products, training infrastructure offerings, model evaluation as a service, or safety/alignment research. The synthetic data fork [P22](https://github.com/parasail-ai/curator)[E19](https://github.com/parasail-ai/curator) hints at post-training interest but without a shipped product or public roadmap.\n\n## Traction highlights\n\n- **Funding:** $32M Series A, $160M valuation [W4](https://aifunding.me/companies)[W6](https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/).\n- **Model catalog:** 31 serverless models listed on models.dev [W1](https://github.com/anomalyco/models.dev/pull/2031).\n- **Partnerships:** Day-zero launch partner for MiniMax M3 [W2](https://www.linkedin.com/posts/mike-henry-72204123_excited-to-be-zero-day-launch-partners-with-activity-7471233095640223744-rNzg); cited as cheapest tracked provider for Kimi K2.6 at ~$1.15/M tokens [W3](https://www.fourfoldai.com/post/kimi-k2-6-and-the-expansion-of-asian-frontier-ai-labs-the-new-global-ai-race).\n- **Developer tooling:** `openai-batch` Python library has 8 GitHub stars, 1 fork, and 15+ releases over ~12 months [P9](https://github.com/parasail-ai/openai-batch)[E10](https://github.com/parasail-ai/openai-batch). Modest public traction for a developer tool.\n- **Community presence (thin):** cookbook repo has 0 stars [P10](https://github.com/parasail-ai/cookbook); no cited evidence of Discord membership, HN discussion volume, or social following. The Head of Developer Relations role [P6](https://job-boards.greenhouse.io/parasail/jobs/5210676008)[E2](https://job-boards.greenhouse.io/parasail/jobs/5210676008) is explicitly tasked with building this presence from scratch.\n- **Team:** 7 open roles across engineering, product, and GTM , all in SF Bay Area / San Mateo, indicating physical colocation rather than distributed-first.\n\n## Sources\n\n- [P1](https://job-boards.greenhouse.io/parasail/jobs/5115842008) Senior Software Engineer, Fullstack job posting\n- [P2](https://job-boards.greenhouse.io/parasail/jobs/5119678008) Product Manager job posting\n- [P3](https://job-boards.greenhouse.io/parasail/jobs/5107617008) Senior Software Engineer, LLM Performance job listing\n- [P4](https://job-boards.greenhouse.io/parasail/jobs/5107916008) Senior AI Engineer job posting\n- [P5](https://job-boards.greenhouse.io/parasail/jobs/5107876008) Senior Software Engineer, Distributed Systems job posting\n- [P6](https://job-boards.greenhouse.io/parasail/jobs/5210676008) Head of Developer Relations job posting\n- [P7](https://job-boards.greenhouse.io/parasail/jobs/5121414008) Account Executive job posting\n- [P8](https://job-boards.greenhouse.io/parasail/jobs/4092794008) Expression of Interest job posting\n- [P9](https://github.com/parasail-ai/openai-batch) parasail-ai/openai-batch repository metadata\n- [P10](https://github.com/parasail-ai/cookbook) parasail-ai/cookbook repository metadata\n- [P11](https://github.com/parasail-ai/ocr_pipeline) parasail-ai/ocr_pipeline repository metadata\n- [P12](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3) openai-batch v0.3 release\n- [P13](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.1) openai-batch v0.3.1 release\n- [P14](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.2) openai-batch v0.3.2 release\n- [P15](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.3) openai-batch v0.3.3 release\n- [P16](https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.4) openai-batch v0.3.4 release\n- [P17](https://github.com/parasail-ai/vllm-public) parasail-ai/vllm-public repository metadata\n- [P18](https://github.com/parasail-ai/loki) parasail-ai/loki repository metadata\n- [P19](https://github.com/parasail-ai/torchtitan) parasail-ai/torchtitan repository metadata\n- [P20](https://github.com/parasail-ai/VLMEvalKit) parasail-ai/VLMEvalKit repository metadata\n- [P21](https://github.com/parasail-ai/traefik-forward-auth) parasail-ai/traefik-forward-auth repository metadata\n- [P22](https://github.com/parasail-ai/curator) parasail-ai/curator repository metadata\n- [P23](https://github.com/parasail-ai/speedboat-pub) parasail-ai/speedboat-pub repository metadata\n- Event stream items as cited in text above\n- [W1](https://github.com/anomalyco/models.dev/pull/2031) models.dev PR #2031 — Parasail provider addition\n- [W2](https://www.linkedin.com/posts/mike-henry-72204123_excited-to-be-zero-day-launch-partners-with-activity-7471233095640223744-rNzg) LinkedIn post — MiniMax M3 day-zero launch\n- [W3](https://www.fourfoldai.com/post/kimi-k2-6-and-the-expansion-of-asian-frontier-ai-labs-the-new-global-ai-race) FourFold AI — Kimi K2.6 pricing\n- [W4](https://aifunding.me/companies) AI Funding — Parasail funding/valuation data\n- [W5](https://jobs.digitalhire.com/job-listing/opening/4M3K9ouPa4VnebOHFqzSbk) DigitalHire — Distributed Systems job\n- [W6](https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/) DCD article — $32M Series A coverage","generated_at":"2026-06-27T19:14:16.447+00:00","citations":[{"url":"https://aifunding.me/companies","path":null,"label":"aifunding.me/companies","type":"external"},{"url":"https://www.datacenterdynamics.com/en/news/ai-cloud-startup-parasail-raises-32m-in-series-a-funding-round/","path":null,"label":"datacenterdynamics.com/en","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5115842008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/anomalyco/models.dev/pull/2031","path":null,"label":"anomalyco/models.dev","type":"external"},{"url":"https://www.linkedin.com/posts/mike-henry-72204123_excited-to-be-zero-day-launch-partners-with-activity-7471233095640223744-rNzg","path":null,"label":"linkedin.com/posts","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5119678008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5210676008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5121414008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5107617008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5107916008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5107876008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://github.com/parasail-ai/vllm-public","path":null,"label":"parasail-ai/vllm-public","type":"external"},{"url":"https://github.com/parasail-ai/torchtitan","path":null,"label":"parasail-ai/torchtitan","type":"external"},{"url":"https://github.com/parasail-ai/VLMEvalKit","path":null,"label":"parasail-ai/VLMEvalKit","type":"external"},{"url":"https://github.com/parasail-ai/curator","path":null,"label":"parasail-ai/curator","type":"external"},{"url":"https://github.com/parasail-ai/triton","path":null,"label":"parasail-ai/triton","type":"external"},{"url":"https://github.com/parasail-ai/simple-evals","path":null,"label":"parasail-ai/simple-evals","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5115842008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5107876008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://jobs.digitalhire.com/job-listing/opening/4M3K9ouPa4VnebOHFqzSbk","path":null,"label":"jobs.digitalhire.com/job-listing","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5107617008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5107916008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5119678008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5210676008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/5121414008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/4092794008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://job-boards.greenhouse.io/parasail/jobs/4092794008","path":null,"label":"job-boards.greenhouse.io/parasail","type":"external"},{"url":"https://github.com/parasail-ai/vllm-public","path":null,"label":"parasail-ai/vllm-public","type":"external"},{"url":"https://github.com/parasail-ai/triton/releases/tag/3.5.1","path":null,"label":"parasail-ai/triton","type":"external"},{"url":"https://github.com/parasail-ai/torchtitan","path":null,"label":"parasail-ai/torchtitan","type":"external"},{"url":"https://github.com/parasail-ai/VLMEvalKit","path":null,"label":"parasail-ai/VLMEvalKit","type":"external"},{"url":"https://github.com/parasail-ai/curator","path":null,"label":"parasail-ai/curator","type":"external"},{"url":"https://github.com/parasail-ai/mistral-common","path":null,"label":"parasail-ai/mistral-common","type":"external"},{"url":"https://github.com/parasail-ai/loki","path":null,"label":"parasail-ai/loki","type":"external"},{"url":"https://github.com/parasail-ai/loki","path":null,"label":"parasail-ai/loki","type":"external"},{"url":"https://github.com/parasail-ai/traefik-forward-auth","path":null,"label":"parasail-ai/traefik-forward-auth","type":"external"},{"url":"https://github.com/parasail-ai/traefik-forward-auth","path":null,"label":"parasail-ai/traefik-forward-auth","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.4","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.3","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.2","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.1","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.1.4","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.1.3","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.1","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.3","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.4","path":null,"label":"parasail-ai/openai-batch","type":"external"},{"url":"https://github.com/parasail-ai/speedboat-pub","path":null,"label":"parasail-ai/speedboat-pub","type":"external"},{"url":"https://github.com/parasail-ai/speedboat-pub","path":null,"label":"parasail-ai/speedboat-pub","type":"external"},{"url":"https://www.fourfoldai.com/post/kimi-k2-6-and-the-expansion-of-asian-frontier-ai-labs-the-new-global-ai-race","path":null,"label":"fourfoldai.com/post","type":"external"},{"url":"https://github.com/parasail-ai/ocr_pipeline","path":null,"label":"parasail-ai/ocr_pipeline","type":"external"},{"url":"https://github.com/parasail-ai/ocr_pipeline","path":null,"label":"parasail-ai/ocr_pipeline","type":"external"},{"url":"https://github.com/parasail-ai/cookbook","path":null,"label":"parasail-ai/cookbook","type":"external"},{"url":"https://github.com/parasail-ai/cookbook","path":null,"label":"parasail-ai/cookbook","type":"external"},{"url":"https://github.com/parasail-ai/openai-batch/releases/tag/v0.3.2","path":null,"label":"parasail-ai/openai-batch","type":"external"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-pro","workflow":"onlylabs-deepagents-analysis-v3","agent":"deepagents"},"evidence":{"total":64,"pages":23,"events":35,"web":6,"signal_desks":{"forks":9,"repos":4,"hiring":8,"talking":0,"releases":14},"data_radar_lanes":null,"data_radar_matches":null}},"signal_counts":{"total":35,"model_released":0,"release":14,"repo_new":4,"repo_forked":9,"post_published":0,"job_opened":8}}