AI agents and chatbots thatknow your business.
A good assistant answers from your own content, admits when it does not know, and can actually do something — book the slot, raise the ticket, update the record. We build custom AI chatbots and AI agents for businesses that want that level of usefulness, not a generic chat widget.
Our AI agent development work covers grounded question-answering over documents and product content, multi-step agents that call your APIs and tools, and the evaluation, guardrails and observability that keep them reliable in front of customers. Most builds take 6–14 weeks.
Everything the engagement covers.
Custom AI chatbot development
Website, WhatsApp and in-app assistants grounded in your own knowledge base, with retrieval, reranking and verification so answers are correct rather than confident.
AI agents that take action
Agents that plan, call tools and APIs, and complete multi-step tasks — booking, quoting, onboarding, internal operations — with permissions and audit trails.
LLM application development
Purpose-built applications on large language models: drafting, summarising, search, classification and copilots inside your product.
Knowledge base & retrieval
Ingestion, chunking, embedding and indexing of documents, sites and databases, kept in sync as content changes.
Evaluation, guardrails & safety
Test sets, automated evals, prompt-injection and content guardrails, and escalation to a human when confidence is low.
Observability & cost control
Every conversation traced; latency and token spend held to an agreed budget and monitored after launch.
Beautiful is expected. Fast, scalable and profitable is where we begin.
Answers grounded in your content
Retrieval-augmented generation keeps the model inside your material instead of inventing.
Does the job, not just the talking
Agents connect to your systems so a conversation ends in an action, not a form to fill in.
Quality you can measure
Evaluation sets and traces turn "does it work?" into a number you can watch over time.
Safe in front of customers
Guardrails, permissions and human hand-off designed in from the start.
Our approach to building what matters.
- 01
Define
The questions the assistant must answer, the actions the agent may take and the metrics that define success.
- 02
Ground
Ingest, chunk, embed and index your content; design the tools and permissions the agent can use.
- 03
Build & evaluate
Retrieval, generation, tool use and guardrails built and scored against the evaluation set.
- 04
Launch & observe
Deployed with tracing, cost monitoring and a review loop that improves it every week.
Chosen by the problem, not the trend.
- LLM APIs (OpenAI, Anthropic, open-weight models)
- Retrieval-augmented generation
- Vector databases
- Python / FastAPI
- Next.js chat interfaces
- WhatsApp and messaging integrations
- Evaluation and tracing tooling
Where this work pays for itself.
- Customer support assistants over help content
- Sales and lead-qualification chatbots
- Booking and appointment agents
- Internal knowledge assistants for teams
- Onboarding and product copilots
- Document Q&A for legal, finance and healthcare
Projects that speak for us.
See all of our work, or ask for a full case study — we share detailed results in a scope call.
Questions we hear about ai agents & chatbots.
Can you build an AI chatbot for my business?
Yes. We build custom AI chatbots grounded in your own content — your website, documents, product catalogue or help centre — and connect them to your website, app or WhatsApp. Every chatbot ships with evaluation sets and a hand-off to a human when it is unsure.
Can you build custom AI agents?
Yes. AI agents go beyond answering questions: they plan multi-step tasks, call your APIs and tools, and complete actions such as booking, quoting or updating records — inside the permissions and audit trail you define.
How do you stop the chatbot from making things up?
By grounding it: answers are generated from retrieved passages of your own content, verified before they are shown, and scored against a test set. When confidence is low the assistant says so or hands over to a person rather than guessing.
Which AI model will you use?
The one the problem calls for. We work with leading hosted models and open-weight models, and choose on quality against your evaluation set, latency, data-privacy requirements and running cost — not on the trend.
How long does chatbot or agent development take?
A grounded assistant over existing content typically takes 6–10 weeks; agents that take actions across several systems 10–14 weeks. Both include evaluation, guardrails and monitoring.
How is a project priced?
We do not publish rates. Every project is priced on its own requirements — the number of pages or screens, the depth of the design work, the integrations involved and the timeline you need. After a scope call you get one fixed number in writing before any work starts, not an hourly meter.
Often paired with this work.
Machine learning, generative AI and LLM applications taken from idea to a monitored production system.
AI wired into the workflows, documents and systems you already run — so work moves without waiting on a person.
Brand sites, e-commerce and interactive experiences engineered to load instantly and convert.