Built with
Every project includes
- Weekly demos in staging
- Documented rollback plan
- Docs and handover
- Support after launch
How we approach it
We treat an AI agent as a piece of production software, not a prompt. That means proper architecture: a retrieval layer that grounds responses in your actual data, guardrails that define what the agent can and can't do, structured escalation paths for anything outside its confidence threshold, and full audit logging so you can see exactly what it did and why.
Our AI engineers work across the stack, from the LLM orchestration layer down to the vector database and API integrations that connect an agent to your CRM, support desk, or internal tools. We've shipped agents that resolve customer support tickets, internal copilots that search across scattered company knowledge, and document-intelligence systems that extract structured data from unstructured text at scale.
See it working before you talk to anyone.
What we build
AI Agents, end to end.
Custom AI agents & copilots
Purpose-built agents for support, sales, internal operations, or research, designed around your workflows, not a generic template.
LLM-powered applications
Full applications with an LLM at the core: content generation tools, research assistants, decision-support systems.
Chatbots for support & sales
Conversational interfaces that resolve real queries against your live data, with clear escalation to a human when needed.
NLP systems & document intelligence
Extraction, classification, and summarization pipelines for contracts, support tickets, records, and unstructured text at volume.
RAG pipelines & knowledge retrieval
Retrieval-augmented generation built on your own knowledge base, with chunking, embedding, and ranking tuned for accuracy.
AI app testing & evaluation
Evaluation harnesses and regression testing so model or prompt changes don't silently degrade accuracy in production.
How it runs
From first call to production.
- 1
Discovery call
The problem, the people affected and what success looks like, in your words.
- 2
Written plan
Scope, success metrics and what you will see each week, agreed before any code.
- 3
Weekly builds
Working software in staging every week, not a reveal at the end.
- 4
Staged launch
Released in steps, with monitoring and a documented way back.
- 5
Handover or support
Docs, access and training, or we stay on to run and improve it.
Case studies
Work we've shipped
Enterprise Technology & Business Operations
Connecting AI assistants to enterprise databases and business apps through the Model Context Protocol
Read the case study →Dental / Healthcare SaaS
Turning lapsed dental patients back into recurring revenue with AI-personalized outreach
- 496
- Patients recovered across featured practices
- $33.5K
- Revenue recovered by one practice
Managed Hosting / Web Operations
From "the site is down" to "here's why": automated root-cause explanations across an 80+ site portfolio
- 80+
- Sites monitored
- 5 min
- Check interval
Where it fits
Industries we build this for
Med Spas & Aesthetics
An AI front desk that answers after hours, prices treatments and books consults.
Healthcare
Patient platforms and clinical workflow tools, built with privacy first.
Ecommerce & Retail
Support, product data and order updates that run themselves.
Legal
Client intake, document review and matter updates, with confidentiality built in.
A focused first agent (one workflow, one integration) typically takes 3 to 6 weeks from scoping to production. Multi-workflow agents with several integrations run 8 to 12 weeks. We scope this precisely in the first working session.
We're provider-agnostic and select based on your requirements: cost, latency, data residency, and capability. We've built on OpenAI, Anthropic, and open-weight models, often with a fallback or routing layer so you're not locked to one vendor.
Retrieval grounding against your verified data, confidence thresholds with human escalation, and an evaluation suite we run before every deployment. We design the failure mode to be 'ask for help,' not 'guess.'
Yes, this is most of the engineering work in practice. We've integrated agents with common CRMs, help desks, and internal databases via API, and can build custom connectors where no off-the-shelf integration exists.
Related services
More in AI
Generative AI & LLM Apps
Copilots, assistants and document tools that answer from your own data, not the open internet.
AI Integration
AI added to the software you already run: CRM, helpdesk, ERP and internal tools.
AI Testing & Monitoring
Test suites, tracing and cost tracking, so you know the AI is right before your customers find out it isn't.