Agents that work.
On the right model, every step.
We design and build complex agentic AI systems — and make Shimmy, which finds the best model for every step of your AI app or agent on cost and quality before you ship it, then keeps that answer right in production.
- classify gpt-5.4-nano was gpt-5.5 −96%
- retrieve_plan gpt-5.4-mini was gpt-5.5 −81%
- draft_reply claude-sonnet-4-6 was claude-opus-4-8 −40%
- policy_check gpt-5.5 nothing cheaper held — keep it ±0%
Every LLM call is its own model decision.
A classifier doesn’t need the model your planner needs. Shimmy works out which model each step does need, in the course of building it — the productized form of one idea: spend exactly the compute a task needs, and not a token more.
Free, offline tests
Each step of your app or agent is called for real once and saved. Tests replay it — no network, no spend, no flaky answers — and can inject the failures production will throw.
The best model per step
While you tune, every step is searched: cheaper models run on your real inputs, every answer graded against the answer of the one you’d ship, settled on the cheapest that holds quality.
An answer you can read
Each step’s winner, its backups, and every model tried — cost, grades and the actual answers — exported as a lockfile you commit and review.
Kept right in production
Ship on the lockfile alone, or keep Shimmy in the path for drift detection, failover, caching and spend caps — on your own provider keys.
Complex agentic systems, designed and built for your business.
Beyond the product, we build bespoke agentic systems end to end — with the same optimization discipline baked in from the first commit.
Design
We map your problem to an agent topology that fits it — tools, memory, gates, human checkpoints where they matter.
Build
Systems that do real work: clone the repo, run the tests, open the PR. Production agents, not demos.
Optimize
Every workflow ships with each step on the right model — found with Shimmy, the same way our customers find theirs.
We aim our products at problems where the technology cuts against people.
The same wave of AI that we optimize is also being used to concentrate power and cut people out. When we choose a product to build, we choose a place where that dynamic bites — and we build the tool that puts leverage back in ordinary hands.
Keeping the record honest
Proofoo is the fact-checking assistant at your fingertips — and a community tool to fight misinformation, fake news, and propaganda in the news and across the internet.
Your skills stay yours
Corporations absorb their employees' experience and skills into AI, then let the humans go. Flaborful is our answer: professionals own their professional likeness and put an AI agent workforce to work for real businesses — earning directly from their AI likeness, while businesses spend less on labor.
A two-sided AI-agent job board for every profession. Professionals train a personal AI agent on their own likeness and expertise; companies post real work; the agent applies and does the job. You own the agent — and you earn from it.
The fact-checking assistant at your fingertips, and a community that rates credibility together — fighting misinformation, fake news, and propaganda, and rewarding the people who keep the record honest.
Engineers who’ve built where getting it wrong wasn’t an option.
Our engineers have plied their trade inside large, demanding organizations — shipping systems where reliability, scale, and cost were never optional. We bring that bar to agentic AI.
- JP Morgan
- Bank of America
- Intuit
- iHeartRadio
- …and more
Questions about Shimmy, answered.
The short version: Shimmy finds the right model for each step before you ship, shows you why, and lets you run on the answer with or without it.
What is Shimmy?
Shimmy finds the best LLM for every step of an AI app or agentic workflow on cost and quality, before you ship it. While you build, it records each step once so tests replay for free. While you tune, it searches each step: cheaper models are measured against the one you would ship, on your real inputs, until each step settles on the cheapest model that holds its quality. The result is a Report and a lockfile.
How does Shimmy decide a cheaper model is good enough?
Every candidate answers the same live input as your baseline model, and its actual answer is graded against the baseline’s — by Jev, a fast decision model from TypeSafe, as the probability that it is as good or better. Tool calls are first verified structurally. A candidate has to keep passing across many calls (20 by default, at 90%) before a step settles on it. Outcomes your code reports — the JSON parsed, the tool ran — count as evidence too. If nothing cheaper holds, the step keeps your model.
Do I have to route production traffic through Shimmy?
No. Export the lockfile and run in passthrough: the SDK calls your provider directly with each step’s winner and falls back down its backup chain on failure. Managed production — drift detection, failover, caching, spend caps — is optional, at $4.99 per workflow per month.
What does it cost?
Development is free: recordings replay at no cost and a free allowance covers making them. Tuning is billed at what the model providers charge plus 25%, from a prepaid wallet, so it never spends more than you put in. Passthrough production is free; managed production is a flat fee per workflow.
Which languages and providers does it support?
SDKs for Python, TypeScript and Rust, wrapping the OpenAI and Anthropic clients. Searches can span OpenAI, Anthropic, Perplexity, Mistral, Cloudflare and open-weights hosts such as Ollama Cloud — limited to the providers you allow. An open-weights migration mode searches only commercially licensed open-weights models.
Can I self-host?
Yes. A self-hosted build ships as a Docker image with Postgres. Traffic and keys never leave your VPC; pricing is a flat enterprise license.
Tell us about your agentic AI problem.
Whether you want to cut your inference bill, build a complex workflow, or both — we’d like to hear from you.