Models
The AI that powers Prodedify
Prodedify doesn't train its own foundation models — it orchestrates the best ones into autonomous AI engineers, routes each step to the right model, and grounds it all in a product knowledge graph. This is the model layer behind every system we ship.
The model layer is where applied AI is won or lost. Raw model access is a commodity; turning it into software that ships and keeps running is not. Prodedify pairs frontier models with multi-agent routing, a knowledge graph, and a certified Claude partnership so the intelligence is dependable — not a demo.
Autonomous engineers
The unit of work is an agent that plans, writes code, runs tests, and opens PRs — not a single prompt. A fleet of them works in parallel, each scoped to a task and grounded in your product.
- Plan → build → test → ship, end to end
- Run in parallel across tasks
- Grounded in your codebase and decisions
Multi-agent model routing
We are model-agnostic by design. Every step is routed to the model best suited to it — frontier reasoning where it counts, fast models where it does not — so quality and cost stay in balance from the first token.
- The right model for every step
- Frontier + fast models, orchestrated
- No lock-in to a single provider
Product knowledge graph
The system remembers why. Decisions, rationale, and context are connected across your product so agents act with the same understanding your team has — not from a blank slate each run.
- Decisions and rationale, connected
- Shared context across every agent run
- The memory the whole platform runs on
Frontier models & partners
Prodedify is a certified Claude partner. We build on frontier models from the labs defining the field, and pair them with our own orchestration so you get the best of the model layer without managing it yourself.
- Certified Claude partner
- Built on frontier models
- Orchestration, evaluation, and safety on top
Questions about the model layer
No. Prodedify is an applied-AI company, not a model lab. We orchestrate the best frontier models into autonomous AI engineers — the value is in how the model layer is composed, routed, grounded, and shipped to production, not in owning the weights.
Frontier models from the leading labs, selected per step by a multi-agent router. Prodedify is a certified Claude partner, and the platform is model-agnostic by design so the right model is used for each task — reasoning, code generation, review — rather than one generalist doing everything.
Every step of a task is routed to the model best suited to it — frontier reasoning where it matters, faster models where it does not — so quality and cost stay in balance. You work with agents, not a specific model; routing is handled by the platform.
No. Your code, data, and decisions are used to do your work — not to train models. Agent runs execute in isolated sandboxes scoped to your data, and you control what is retained and for how long.
A live graph that connects requirements, decisions, rationale, and shipped changes across your product. Agents query it for context before they plan and build, so they act from the same source of truth your team does — and that context survives across runs.
It means Prodedify's team and platform are vetted to build and deploy with Claude in production. It's a trust signal, not a lock-in — the model layer remains model-agnostic, with Claude as one of the frontier models the router can reach.
Explore
Build on the model layer.
Tell us the problem you're solving — we'll help you build a tailored AI system on top of it, and ship it.