Better Architecture. Better Models. Lower Cost.
Open-source LLMs, structured delegation pipelines, and defined workflows.
What we build
Simple, useful AI systems. Not a giant transformation plan. Start with one painful workflow and make it better.
Internal AI assistants
Help your team answer questions, draft documents, research, summarize, and make decisions using your actual business context.
Workflow automation
Connect AI to email, CRM, spreadsheets, calendars, databases, and APIs so repetitive work happens faster with fewer handoffs.
Customer-facing agents
Website, SMS, email, or chat agents that answer questions, qualify leads, route requests, and escalate when a human is needed.
How it works
Start small. Ship fast.
The goal is not to overwhelm your company with AI. The goal is to find one place where AI can save time, reduce errors, or create a better customer experience.
Tell us the workflow that wastes time or causes mistakes.
We build a focused working version with the tools you already use.
Your team tests it in real work, then we improve from there.
Field Reports
Field Reports
Engineering writeups of production AI systems we build — the method, the measurements, and the cost.
An RL/Eval Proof on Prime Intellect
$0 hosted RL training · 0.954 → 0.962 on a production gate
Read the reportAgent-Generated GPU Kernels
0.013 ms hot-path kernel · verified on our own GPU
Read the reportThe Small Model Question
Local 8B: 0.917 vs hosted 0.950 · same latency · $0
Read the reportArchitecture
Architecture.
Open-source models are only the starting point. The advantage comes from routing, delegation, defined workflows, integrations, and auditable output — built as one system.
Best-Fit Models
Choose the right tool for each job
Every task uses the model best suited to it — optimized for accuracy, speed, and cost. No single-vendor lock-in, no paying for capability you don’ need.
Model Router
Task-aware orchestration
Intelligent routing directs queries to the most capable model based on complexity, latency, and cost requirements.
Structured Delegation
Specialist agents by role
Complex tasks decomposed into subtasks handled by specialized sub-agents with focused capabilities.
Clear Process
Built around the work
The workflow is clear, practical, and easy for your team to review and improve as the work changes.
Tool Integrations
APIs, databases, docs, CRMs
Native connectors to the tools your team already uses — no rip-and-replace required.
Auditable Output
Logs, reviews, ownership
Every decision and output is logged, traceable, and reviewable — built for compliance and continuous improvement.
Best-Fit Models
Choose the right tool for each job
Every task uses the model best suited to it — optimized for accuracy, speed, and cost. No single-vendor lock-in, no paying for capability you don’ need.
Model Router
Task-aware orchestration
Intelligent routing directs queries to the most capable model based on complexity, latency, and cost requirements.
Structured Delegation
Specialist agents by role
Complex tasks decomposed into subtasks handled by specialized sub-agents with focused capabilities.
Clear Process
Built around the work
The workflow is clear, practical, and easy for your team to review and improve as the work changes.
Tool Integrations
APIs, databases, docs, CRMs
Native connectors to the tools your team already uses — no rip-and-replace required.
Auditable Output
Logs, reviews, ownership
Every decision and output is logged, traceable, and reviewable — built for compliance and continuous improvement.
Best-Fit Models
Choose the right tool for each job
Every task uses the model best suited to it — optimized for accuracy, speed, and cost. No single-vendor lock-in, no paying for capability you don’ need.
Model Router
Task-aware orchestration
Intelligent routing directs queries to the most capable model based on complexity, latency, and cost requirements.
Structured Delegation
Specialist agents by role
Complex tasks decomposed into subtasks handled by specialized sub-agents with focused capabilities.
Clear Process
Built around the work
The workflow is clear, practical, and easy for your team to review and improve as the work changes.
Tool Integrations
APIs, databases, docs, CRMs
Native connectors to the tools your team already uses — no rip-and-replace required.
Auditable Output
Logs, reviews, ownership
Every decision and output is logged, traceable, and reviewable — built for compliance and continuous improvement.
Open-Source Landscape
What we actually run
The open-source stack we recommend — because we run it in production. Inference, self-hosted models, and the agent layer, with the hardware and the reasoning.
Inference
Makora
Agentic kernel + inference generation
Where to run the hot path when speed is the product.
Makora generates and fuses GPU kernels from plain code — the same engine behind our 0.013 ms field-report kernel. If your workload has a measurable hot path, Makora turns it into native CUDA instead of paying for an opaque hosted endpoint.
makora.comSelf-hosted models
DeepSeek V4 Flash
Self-hosted on 2× RTX PRO 6000
Where to run a frontier-class model with zero per-query cost.
A frontier-class small model you can run on hardware you own — in this case two RTX PRO 6000 cards. Same class of model we benchmarked at 0.950 on the production gate, with data never leaving the building and no per-query fees.
huggingface.coAgents
Prime · Pi · ZCode Desktop
The agent stack we actually run
Where to put the orchestration, coding, and resident workers.
Prime for hosted training and verifiers, the Pi coding-agent SDK for long-running resident agents, and ZCode Desktop as the daily coding surface. This is the stack running this site, our field reports, and the production systems behind them.
primeintellect.ai