Arrow 
Benchmarked on your tasks
Every workflow gets model candidates tested on your real documents and edge cases — accuracy, latency, and cost measured before anything ships.
Technology — AI Systems
Built on the frontier
Arrow AI Systems run on the world's leading models — chosen per workflow, swapped as the frontier moves. Model-agnostic by design.
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The approach
The right model per workflow, not per hype
Swappable by design
The model sits behind one interface. When a better or cheaper model lands, we swap the layer — your workflows, data, and reviews don't move.
The system does the trust work
Retrieval over approved sources, permissions, human review queues, audit trails, and evals — reliability comes from the system, not the model alone.
The stack
Models are the engine. Arrow builds the car: retrieval, orchestration, permissions, review, and measurement around whichever engine wins this quarter.
RetrievalAnswers grounded in your approved documents and data.
OrchestrationMulti-step workflows across CRM, docs, and ops tools.
Human reviewApproval queues for anything that leaves the building.
EvalsMeasured accuracy before and after every change.
FAQ
Technology, answered
Which AI models does Arrow build with?
Arrow builds on the leading frontier models — Claude (Anthropic), GPT (OpenAI), Gemini (Google), Mistral, and Llama (Meta) — choosing per workflow based on accuracy, latency, cost, and data requirements.
Why model-agnostic instead of one provider?
Models leapfrog each other every few months. Arrow systems are built so the model layer can be swapped without rebuilding the workflow, keeping clients on the best available option.
Is my data used to train these models?
Arrow uses business/API tiers where providers do not train on customer data by default, and configures retention according to each client's requirements.
What sits around the model?
Retrieval over approved sources, workflow orchestration, permissions, human review queues, and evaluation — the system around the model is what makes it reliable.
Architecture call
Tell us the workflow. We'll pick the engine.
A 15-minute call is enough to sketch which model and which system fit your operations.
AI Systems from $2,500, live in 2–6 weeks. Free audit first.