What Prime Intellect does

Prime Intellect, Inc. is a Delaware-incorporated AI infrastructure company founded in 2024 and headquartered in San Francisco, operating a full-stack open platform for post-training and deploying self-improving AI agents. Its technology spans three integrated platform surfaces — Lab (the hosted post-training product for evaluations, managed RL training, one-click deployments with LoRA support, and an Improve loop that feeds production data back into training), Compute (a GPU compute exchange aggregating capacity from 50+ datacenter providers with SLURM/K8s orchestration, InfiniBand networking, and an idle-sell-back spot market), and the Environments Hub (a community catalog of 2,500+ open-source RL environments). Underneath these surfaces, Prime Intellect maintains the prime-rl asynchronous reinforcement learning framework, the verifiers library for environment construction, Prime Sandboxes (a Rust-to-pod code-execution layer), and original research components including TOPLOC (verifiable inference via locality-sensitive hashing), SHARDCAST (HTTP tree-topology weight broadcasting), OpenDiLoCo, and PCCL. The company has open-sourced the INTELLECT family of foundation models (10B, 32B, and a 106B Mixture-of-Experts) and the SYNTHETIC-1 and SYNTHETIC-2 datasets totaling six million verified reasoning traces.

Name

Prime Intellect

Legal name

Prime Intellect, Inc.

Website

https://primeintellect.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

51–100 employees

Short description

Prime Intellect is an open-stack AI infrastructure platform that aggregates global GPU compute, hosts a community of 2,500+ reinforcement learning environments, and provides hosted post-training, evaluations, and inference for teams building self-improving AI agents.

Ownership category

akta.pro rank

Product category

AI Training Infrastructure

NAICS

Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Model Deployment, Serving & Inference Platforms (HDAAABAF)

akta.pro secondary industry

AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)

Keywords

• AI training infrastructure
• GPU compute exchange
• Reinforcement learning platform
• Open foundation models
• AI inference deployment

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations

Revenue model

1. On-demand GPU compute rental: Per-hour consumption pricing across NVIDIA H200, H100, B200, B300, GH200, A100, A40, and RTX Pro 6000 SKUs ranging from $0.47/hr to $4.99/hr; spot capacity available on H100 at $0.94/hr; customers can access single-node or multi-node clusters via SLURM/K8s orchestration.
2. Reserved cluster contracts: Multi-year reserved pricing for large-scale clusters (e.g., B300 SXM6 x 512 at $5.00/hr/GPU on a 3-year contract); Prime Intellect sources quotes from 50+ datacenters within 24 hours and offers idle sell-back to spot market to defray costs.
3. Hosted RL training & Lab platform: Managed reinforcement learning training on Prime Intellect Lab with hands-on support from applied research team, hosted training workflows, eval leaderboards, and one-click deployments with native LoRA support; customers like Ramp and Zapier use it to post-train custom agents.
4. Compute marketplace commission / spot resale: Hosts can list idle GPUs on the Prime Intellect compute exchange for clients to rent; Prime Intellect takes a take rate on transactions and routes a portion back to hosts when reserved-cluster customers resell idle capacity on the spot market.
5. Dedicated & serverless inference: One-click deployment for fine-tuned models with LoRA adapters served alongside base models, served via NVIDIA Dynamo for efficient routing, autoscaling, and KV offloading; consumed via Prime Intellect Inference API.

Pricing tiers

Go-to-market motion4 records

Distribution channels5 records

Marketing channels11 records

Core offering

Prime Intellect operates an integrated open stack for training, deploying, and continuously improving AI agents. Its hosted Lab platform combines on-demand GPU compute (aggregated from 50+ datacenters), asynchronous reinforcement learning post-training on 2,500+ open-source RL environments, evaluations on 100+ models, and one-click inference with LoRA support. The platform is complemented by an open-source model family (INTELLECT-1/2/3, METAGENE-1), large-scale reasoning datasets (SYNTHETIC-1/2), and supporting libraries (prime-rl, verifiers, Prime Sandboxes, TOPLOC, SHARDCAST, OpenDiLoCo, PCCL).

Product overview

Prime Intellect operates as a unified open stack for self-improving AI agents, organized around three top-level platform surfaces: Prime Intellect Lab (the hosted post-training platform with Evaluations, Hosted Training, Deployments, and an Improve loop), Prime Intellect Compute (the GPU compute exchange marketplace aggregating capacity from global providers), and the Environments Hub (a community hub hosting 2,500+ open-source RL environments and evaluations). Underneath these platform surfaces, the open-source core includes the prime-rl asynchronous RL framework, the verifiers Python library for environment construction, Prime Sandboxes for secure code execution, and supporting infrastructure such as TOPLOC (verifiable inference), SHARDCAST (weight broadcasting), PCCL, and OpenDiLoCo (distributed low-communication training). Prime Intellect also open-sources its foundation model family — INTELLECT-1 (10B), INTELLECT-2 (32B), and INTELLECT-3 (106B MoE) — along with domain models like METAGENE-1, and large-scale reasoning datasets SYNTHETIC-1 and SYNTHETIC-2. Lab integrates with NVIDIA hardware (H100/H200/B200/B300/GH200/A100) and inference frameworks vLLM and NVIDIA Dynamo, while model inference for INTELLECT-3 is served by partners including Parasail and Nebius.

Differentiator

Problem solved

Functional benefit

Brands

• Lab: Prime Intellect's hosted post-training platform for training, deploying, and continuously improving custom models with compute, RL post-training, environments, evals, and inference.
• Compute
• INTELLECT
• SYNTHETIC
• Environments Hub
• PRIME-RL
• Verifiers

Products and services

• Prime Intellect Lab Hosted post-training platform for self-improving agents providing Evaluations on 100+ open-source models, Hosted Training on 2,500+ RL environments with managed workflows and applied research support, Deployments with 1-click inference and LoRA adapter support, and an Improve loop that feeds production data back into training. Used by enterprise customers including Ramp and Zapier to post-train custom agents on proprietary workflows.
• Prime Intellect Compute GPU compute exchange aggregating capacity from 50+ global datacenter providers with on-demand access (1-256 GPUs), liquid reserved clusters, SLURM and K8s orchestration, InfiniBand networking, Grafana monitoring, and spot-market re-selling for idle NVIDIA H100, H200, B200, B300, GH200, A100 and A40 GPUs. Hosts list idle GPUs and clients rent via a unified interface.
• Environments Hub Community hub hosting 2,500+ open-source RL environments and evaluations across math, code, science, logic, deep research, software engineering, computer use, automation, and theorem proving. Built on the verifiers framework and runnable in Prime Sandboxes.
• INTELLECT-3 Open-source 106B-parameter Mixture-of-Experts model (based on GLM-4.5-Air) trained with both SFT and RL, achieving state-of-the-art performance for its size across math, code, science, and reasoning benchmarks. Trained on 512 NVIDIA H200 GPUs over two months. Full recipe, datasets, RL environments and evaluations released open-source.
• INTELLECT-2 Open-source 32B parameter model, the first trained through globally distributed reinforcement learning. Built on QwQ-32B with 285k verifiable math and coding tasks. Model weights and full training code released under open-source license.
• INTELLECT-1 Open-source 10B parameter model, the first trained through globally distributed training across compute contributors. Weights released on Hugging Face with full open-source recipe.
• METAGENE-1 Open-source metagenomic foundation model for DNA/RNA sequence modeling released as an open-source research artifact for the bioinformatics community.
• SYNTHETIC-2 Open dataset of four million verified reasoning traces spanning math, coding, and novel reasoning tasks (Code Output Prediction v2, Pydantic Adherence, Complex JSON, Sentence Unscrambling, ASCII Tree, Formatask), collaboratively generated by 1,253 GPUs across the globe. Includes SFT, RL, verified, and unverified splits released on Hugging Face.
• SYNTHETIC-1 Open-source reasoning dataset generated from DeepSeek-R1 with two million verified traces across five task categories (mathematics 777k, algorithmic coding 144k, real-world SWE 70k, open-ended STEM 313k, synthetic code understanding 61k). Includes a 900k SFT subset and 11k preference dataset, verified via the Genesys verifier library.
• prime-rl Open-source asynchronous reinforcement learning framework purpose-built for agentic post-training of large Mixture-of-Experts models, featuring 3-D parallelism (FSDP2/CP/EP), FP8 training via DeepGEMM, router replay for trainer-inference consistency, and integration with the Environments Hub. Version 0.6.0 enables trillion-parameter MoE training.
• verifiers Open-source Python library of modular, extensible components for creating RL environments and evaluations for LLMs. Powers the Environments Hub by publishing verifier-backed environments as standalone, pinnable Python modules with a uniform entry point.
• Prime Sandboxes High-throughput, secure code execution layer for agentic RL that bypasses the Kubernetes control plane with a Rust-to-pod direct execution path for near-local-process latency, sub-10-second startup at massive concurrency, and scaling to hundreds of isolated sandboxes per node.

Quantifiable outcome

• Ramp FastAsk (35B) achieved 66.25% exact-match accuracy vs Claude Opus 4.6's 61.88% (4+ points higher) while running 27% faster than Opus at Haiku-class latency; +10 points over its Qwen3.5-35B-A3B base model within hours of RL.
• +5 more outcomes

Named customers7 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability11 records

Feature9 records

Partnerships

Eleven partnerships are on record, tiered flagship, core and minor.

• NVIDIAflagshipStrategic or Co-development Partner · 1 June 2026Joined the NVIDIA Nemotron Coalition in June 2026 to advance open frontier models; Prime Intellect Lab provides day-0 hosted RL training on Blackwell B200/B300 (and NVL72 where available) with native vLLM inference, NCCL weight broadcast, and the Prime-RL trainer; inference served via NVIDIA Dynamo. Earlier (Jan 2026) Prime Intellect leveraged NVIDIA GB200 NVL72 hardware in partnership with Nebius.
• Hugging Face (OpenEnv coalition)coreStrategic or Co-development Partner · 1 June 2026OpenEnv (an open-source tool for creating agentic execution environments) is transitioning to community governance at Hugging Face with a coordination committee comprising Meta-PyTorch, Nvidia, Microsoft, Hugging Face and others; Prime Intellect is a contributor to the OpenEnv ecosystem via its Verifiers framework and Environments Hub.
• FrontierSWEminorStrategic or Co-development Partner · 1 April 2026Launched on the Environments Hub on April 16, 2026 as an SWE-bench-style training environment; powered by Prime Intellect's environments platform.
• BrowserbasecoreStrategic or Co-development Partner · 1 March 2026Partnered to train browser and computer use agents; Browserbase is featured on the Prime Intellect homepage partner logo wall and integrated into the deepdive RL environment as a web-search and scanning backend.
• NebiuscoreStrategic or Co-development Partner · 1 January 2026Partnered with Nebius to test NVIDIA GB200 NVL72 hardware for distributed training and reinforcement learning; latest proof-of-concept demonstrated high-performance AI workloads using a four-node cluster with 16 Blackwell GPUs that facilitated the development of INTELLECT-3. Nebius is also an inference provider for INTELLECT-3 via chat.primeintellect.ai.
• Arcee AIcoreStrategic or Co-development Partner · 1 December 2025Partnered with Prime Intellect for U.S.-based compute to train the Trinity family of open-weight MoE models; also partnered with DatologyAI for a legally vetted deduplicated training corpus. Prime Intellect logo appears on the Arcee partner wall.
• Edge CitycoreGTM or Marketing Partner · 1 August 2025Co-launched the second cohort of Inflection Grants in August 2025, providing $2,000 of compute resources to six young innovators under 25 for AI and tech projects; recipients span Bangladesh, India, and the United States.
• ParasailcoreStrategic or Co-development PartnerAcknowledged as an inference provider for INTELLECT-3 alongside Nebius; serves the chat.primeintellect.ai and Prime Intellect Inference API endpoints.
• vLLM team / llm-d / Dynamo teamscoreTechnology or IntegrationOngoing technical collaboration on inference optimization; prime-rl integrates vLLM for inference, supports Mooncake KV cache offloading, and uses NVIDIA Dynamo for routing. Acknowledged in the RL at 1T Scale blog: 'we would like to thank the entire vLLM team, in particular Robert Shaw (@robertshaw21), and the llm-d and Dynamo teams'.
• RampflagshipOthersCase study customer: Ramp used Prime Intellect Lab to train FastAsk, a 35B retrieval subagent for Ramp Sheets financial spreadsheet Q&A, beating Claude Opus 4.6 by 4+ points at Haiku-class latency; the partnership is featured prominently as a flagship case study on the homepage.
• ZapierflagshipOthersCase study customer: Zapier built AutomationBench on Prime Intellect Lab to evaluate and RL-train agents across 9,000+ app ecosystems; partnership featured prominently as a flagship case study on the homepage.

Scale indicators10 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Together AI: Together AI operates a GPU cloud platform with open model hosting, fine-tuning, and inference APIs — directly overlapping Prime Intellect's Compute and Inference offerings. It also invests in RL post-training tooling and open-weights models (e.g., RedPajama, StripedHyena), making it a direct peer across both infrastructure and model layers.
• Anyscale: Anyscale offers a managed Ray-based platform for AI/ML workloads including LLM training, fine-tuning, and inference. Its focus on scalable distributed training directly competes with Prime Intellect's RL post-training and compute orchestration offerings.
• Lambda Labs: Lambda provides GPU cloud instances (H100/H200/B200 clusters) and AI training services — overlapping with Prime Intellect Compute. Lambda also offers Lambda Chat for hosted inference and operates its own model training programs, making it a direct competitor across compute, training, and inference.
• Modal Labs: Modal provides serverless GPU compute and infrastructure for running AI workloads including training, fine-tuning, and inference. Its developer-focused serverless model and growing AI infrastructure tooling overlap with Prime Intellect's hosted RL training and on-demand GPU offerings.
• Fireworks AI: Fireworks AI offers model inference, fine-tuning (including RLHF/RLAIF), and deployment APIs. Its function-calling and agentic model support compete with Prime Intellect's deployment and inference offerings, and its fine-tuning capabilities overlap with Prime Intellect Lab's RL post-training pitch.
• Vast AI: Vast AI operates a decentralized GPU marketplace where hosts rent idle capacity to ML practitioners — directly overlapping with Prime Intellect Compute's marketplace model. Both platforms aggregate global GPU supply with SLURM/K8s orchestration and target cost-sensitive AI teams.
• RunPod: RunPod offers on-demand GPU cloud instances (H100, H200, A100) and serverless inference endpoints for AI workloads. Its self-serve developer platform and growing RL/agentic tooling overlap with Prime Intellect's on-demand compute and hosted deployment offerings.

Broad incumbents

• CoreWeave: CoreWeave is one of the largest pure-play GPU cloud providers with multi-thousand-GPU clusters used for frontier AI training. While it doesn't specialize in RL post-training or open-weights models like Prime Intellect, it competes directly in the reserved cluster and on-demand GPU rental markets.
• Hugging Face: Hugging Face hosts Prime Intellect's INTELLECT models and SYNTHETIC datasets, and is building its own RL/agentic tooling (smolagents, OpenEnv coalition). It offers Spaces, Inference API, and Enterprise Hub that overlap with Prime Intellect's evaluation and deployment surfaces, making it both a critical distribution channel and a competitive incumbent.

Emerging players

• Replicate: Replicate runs a cloud API for open-source models with one-click deployment and inference — overlapping with Prime Intellect's deployment/inference surface. While it focuses more on inference than training, its developer-relations-led go-to-market mirrors Prime Intellect's community-led growth approach.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/primeintellect
• GitHubgithub.com/PrimeIntellect-ai
• LinkedInlinkedin.com/company/primeintellect-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Subsidiaries1 record

Funding overview

Funding rounds4 records

Investors13 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Prime Intellect