A dedicated assistant for every team, trained on your data
We build enterprise copilots and AI agents that read your documents, know your processes and work next to your people. Not demos: products actually used every day by sales, support, legal, HR and engineering.
To release the first copilot to internal production with a pilot group
Average time to find the right answer in large internal knowledge bases
Answer traceability with citations back to original sources
Custom LLMs, not generic chatbots
A public model does not know your price list, framework contracts, tone of voice or internal policies. Our copilots do. They start from frontier models (Claude, GPT, Llama, Mistral) and we specialise them on your processes with retrieval, fine-tuning and bespoke guardrails. When needed they turn into agents: they execute actions through tools and APIs, always with human controls.
We connect the copilot to SharePoint, Drive, Confluence, databases, tickets, contracts. Answers cite the source and respect the original permissions of every document.
To automate work we build agents that use APIs, SQL queries, compute engines, RPA. They run concrete actions and stop when their confidence drops below a threshold.
Every copilot has a golden question set, automated evals, accuracy and cost monitoring. If a release worsens metrics, we roll back automatically.
An agent that answers citing its sources
Real example: an agent with tool use that searches internal documents, cites its sources and escalates to human review only when confidence drops below threshold.
The copilots we build
Different departments need different assistants: we design specialised copilots, not a single generic bot.
Sales copilot
Summarises calls, drafts proposals, answers RFPs, suggests next best actions and keeps the CRM up to date for sales reps.
- Integrated with Salesforce, HubSpot, Dynamics
- Proposal drafting from templates and case history
- Automatic lead scoring with explanations
Support copilot
Sits next to agents suggesting answers based on your manuals and history, and answers autonomously where possible with auto-escalation.
- Smart triage for incoming tickets
- Answers with citations to internal KB
- Agent assist inside Zendesk, Freshdesk, Teams
Internal knowledge assistant
A single place where anyone can ask about procedures, policies, tutorials, technical specs — in natural language, respecting permissions.
- Indexes documents, wikis, emails and chats
- Multilingual semantic search
- Document-level permissions honoured
Contract copilot
Contract review, critical clause extraction, version comparison, alerts on deviations from standard clauses.
- Tailored review playbooks
- Assisted redlining with changelog
- AI Act, GDPR and internal policy compliance
People copilot
Assistant for onboarding, leave requests, company policies, internal skills search, job description and review drafting.
- Multi-step automated onboarding
- Internal talent matching
- Sensitive conversations kept private
Internal tech copilot
Stands next to developers with code search, documentation, runbooks and dev tools. Integrated with GitHub, Jira, PagerDuty.
- Semantic multi-repo code search
- Interactive operational runbooks
- On-call assistance during incidents
How we build a copilot
Three clear stages, each with objective criteria to decide whether to continue.
1. Use case discovery
We understand who will use the copilot, which questions they ask, where answers live today. We write 30-50 representative questions that will benchmark quality over time.
Output: golden set, source map, security and permissions architecture.
2. Prototype with retrieval and guardrails
We build the first version on Claude/GPT, a RAG engine over your documents and guardrails for prompt injection, PII and forbidden topics. We iterate on the golden set until metrics are good.
Output: internal copilot, eval dashboard, governance and logging.
3. Production, agents and scale
We go live with a pilot group, extend across the department, add agents that execute actions (book, update, send). We evolve models and knowledge over time.
Output: operating copilot or agent, SLA, quarterly evolution plan.
Models, frameworks and platforms
We pick the right mix of quality, cost, privacy and latency together with you.
Claude (Anthropic), GPT (OpenAI), Gemini (Google), Azure OpenAI, AWS Bedrock
Llama, Mistral, Qwen, Phi, DeepSeek on dedicated GPUs or Kubernetes
LangChain, LlamaIndex, Vespa, Qdrant, Pinecone, pgvector
LangGraph, CrewAI, Temporal, MCP (Model Context Protocol)
Promptfoo, Braintrust, Ragas, Lakera Guard, custom policies
Web UI, mobile, Slack, Teams, Outlook, inside CRM/ERP
Complete your AI plan
Bring the copilot into your existing tools
A copilot lives where people work: CRM, helpdesk, mobile app. We integrate it for you.
Add custom models to your copilot
When precision matters, we pair the copilot with dedicated classification or prediction models.
Foundations for high-traffic copilots
Fast APIs, event bus and queues to absorb LLM request spikes.
Let us design your first enterprise copilot
A 45-minute session: we pick the highest-impact use case and hand you a release plan within 8 weeks.
Questions about enterprise copilots and AI agents
How we design AI assistants that are secure, accurate and actually used by teams.