The hours your team loses to repetitive work, recovered
Invoice processing, lead qualification, contract review, report preparation. Tell us the work that consumes your team's day and we build a system that does it automatically, escalating to a person only when judgment is needed, with every action logged for audit.
Fixed price, typically $8K to $45K · written plan in 3 days · you own the code
Price
$8K to $45K fixed
Timeline
6 to 8 weeks
What happens next
- 01A 30-minute call with the founder, not a sales team
- 02A written plan and a fixed price within 3 days
- 03Weekly working demos on your real data during the build
- 04Handover: source code, documentation, your team trained, 30 days of support
What you own
The whole system. It runs on your infrastructure. No licence fees, no dependency on us.
Not for
- Teams that want a chatbot, not a system that does the work
- Processes nobody can describe in writing yet
- Anyone under ten people
If it does not fit, we say so on the call.
For your IT team
What we build into every agent system
- Multi-agent orchestration with LangGraph state machines
- Human-in-the-loop approval gates for high-stakes decisions
- Tool use: web search, code execution, database queries, API calls
- Persistent memory and context across long-horizon tasks
- Parallelized agent execution for throughput-critical workflows
- Full observability with LangSmith tracing
- Streaming responses for real-time UI feedback
- Retry logic, fallback chains, and graceful error handling
Where we deploy agents
Legal research & brief drafting
Lead enrichment & outbound personalization
Financial analysis & report generation
Content pipeline automation
Customer support escalation routing
Supply chain exception handling
Frequently asked questions
What is an AI agent system?
An AI agent is software that uses an LLM to decide what actions to take, such as calling tools, querying databases, running code, or triggering workflows, to complete a goal autonomously. A multi-agent system coordinates multiple specialized agents to handle complex, multi-step business processes.
What does LangGraph give you that other frameworks don't?
LangGraph uses a state graph to model agent workflows, giving you explicit control over transitions, retries, human approvals, and parallel branches. Unlike agent loops in plain LangChain or AutoGen, LangGraph workflows are auditable, resumable, and production-safe.
How long does a typical agent build take?
A focused single-agent system takes 2–4 weeks. A multi-agent orchestration with integrations and UI typically runs 4–8 weeks. We phase the build so you see working demos after week 1.
Do you handle on-premise deployments?
Yes. We regularly deploy to private cloud or on-prem infrastructure using Docker and Kubernetes. Local LLM support (Ollama, LM Studio, vLLM) is available for data-sensitive deployments.
Ready to automate your most complex workflows?
Book a call. We'll map your workflow, identify the agent topology, and send you a written spec within 3 days.
Book a call