Support that answers itself
8–12 weeksA support queue answering the same hundred questions in three languages.
Grounded answers with citations, actions taken through your tools, and a person on anything uncertain.
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Agents, knowledge assistants, custom models, automation, a secure platform and the strategy to choose between them — each scoped to reach production, with the evaluation agreed first.
OpenAI
Anthropic
Google Gemini
Meta Llama
Hugging Face
LangChain
Ollama
PyTorch
TensorFlow
Python
FastAPI
n8n
Next.js
React
TypeScript
PostgreSQL
MongoDB
Redis
Supabase
Docker
Kubernetes
AWS
Google Cloud
Microsoft AzureFrom AI agents to enterprise platforms, we design, build and deploy intelligent solutions that solve real business problems — with clear processes, measurable outcomes and end-to-end accountability.
Intelligent agents that handle complex tasks, integrate with your tools, and work autonomously to save time and scale operations.
Turn your internal data into an intelligent knowledge base with hybrid search, reranking and citation-backed answers.
Domain-specific models and fine-tuned LLM solutions tailored to your data, use cases and performance goals.
Automate repetitive work, streamline workflows and integrate your systems to reduce manual effort and improve efficiency.
Secure, scalable and production-ready AI platforms designed for enterprise needs with governance and observability.
Practical guidance on what to build, what to buy, and how to implement AI for real business impact.
Four shapes of engagement we see again and again. Discovery tells you which one is yours — or that it is none of them.
A support queue answering the same hundred questions in three languages.
Invoices, claims or orders re-keyed between inboxes, ERPs and spreadsheets.
Twenty AI ideas, no shared way to rank them, and a budget to defend.
Leads triaged by hand, follow-ups that slip, and a CRM nobody trusts.
Each stage ends in something you can hold — a document, a demo, a passing eval, a dashboard. Nothing carries over on trust alone.
A paid two-week audit of your processes, data and systems. We come back with a ranked list of what AI should touch — and what it should not.
Audit report and ranked backlog
Model selection, retrieval design, guardrails and the integration surface. You get a written architecture with a cost model attached to it.
Architecture doc with cost model
Two-week sprints to implement agents, integrate with your systems and run internal evals. You see working software early and often.
A working demo in your environment
We run your real use cases, measure accuracy, latency and cost, and pressure-test edge cases with your team before go-live.
Evaluation report with KPIs
We help you launch, monitor and continuously improve. You get playbooks, dashboards and regular reviews to scale safely.
Live dashboards and runbooks
Each step is its own commitment. Stop after any of them and you keep everything delivered so far.
A paid discovery that ends with a ranked, costed backlog — yours to keep whoever builds it.
Delivered in phases, each priced up front and each ending in something you can hold.
Tracing, drift alerts, upgrades and the pager, carried by the people who built it. Cancellable.
Bring one process you think an agent could run.
We'll tell you straight whether it's worth building — and what it would cost if it is.