01Custom software
We move LLMs from demo to product: RAG, agents and automation with evals and guardrails that prove quality before go-live. We integrate Claude, GPT and Gemini.
Answers from your operations data · nothing leaves your company
Example: an AI assistant that answers from the company’s data and cites its sources. Ask it something else.Sample data.
What’s included
Agents, RAG and copilots in production. One senior team takes it from the first call to production.
Semantic search and indexing over your docs, database and APIs, with verifiable citations back to the source.
Agents that take real actions against your systems via tool use, with clear boundaries and a trace for every step.
Eval suites that measure accuracy and hallucination, plus input and output filters against leaks and prompt injection.
Automated classification, extraction and response wired into your queues, webhooks and internal tools.
We integrate Claude, GPT and Gemini behind an abstraction so you can swap models without rewriting the product.
Traces, latency and per-request cost in one dashboard, with caching and routing to keep spend under control.
How we do it
Tools we use
We define the use case, the available data and what success means. We lock scope and a fixed price for the phase.
We build a prototype and an eval set from your real cases. If it doesn't clear the bar, it doesn't move forward.
We integrate into your systems with guardrails, observability and cost controls. All in your repo.
We monitor quality and spend in production, iterate on the evals and hand the knowledge to your team.
Architecture
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Pricing
The first working version of your software, on your domain: up to 4 screens or one complete flow.
Fixed scope, delivered in weeks. For MVPs, rewrites and migrations.
A senior team of 3 to 5 people working alongside yours.
Technical leadership for non-technical founders or pre-Series A startups.
Prices plus VAT. Always with a fixed price in writing before we start.
Questions
Fixed price per phase, set at the end of Discovery. Phase 1 starts at USD 2,000: a prototype with evals to validate the use case on your real data before investing in production. You know it works before committing the full budget.
That's exactly why we don't ship without evals. We build an eval set from your real cases to measure accuracy and hallucination, and add guardrails plus source citations. If it doesn't clear the quality bar, it doesn't go to production.
No. We integrate Claude, GPT and Gemini behind our own abstraction layer, so you can switch or mix models by cost and quality without rewriting the product. The code lives in your repo from day one.
Yes. RAG and agents connect to your database, APIs, documentation and internal tools via tool use. We define clear permissions and boundaries so the agent only does what it should, with full traceability of every action.
A 30-minute call and a fixed-price plan in writing within 48 hours. We reply within one business day.