Agents that act inside the tools your team already uses
Task agents with explicit tool permissions, approval steps where the action is irreversible, and a log of every decision they made.
2 wks
To a working POC
15
AI capabilities we build
9
Years in business
What you get
What every agent includes
An agent acts on your behalf, so we decide what it may do, and who approves it, before it does anything.
Talk through the use caseTool access scoped to exactly what the task needs
Approval gates on anything irreversible
Full traceability from trigger to action
Our process
Four steps from task to supervised agent
Autonomy is earned in stages.
- 01
Define the task & limits
What the agent does, which tools it may use, and what needs human approval.
- 02
Connect the tools
Your APIs, databases and apps, with scoped permissions and logging.
- 03
Test the failure cases
Wrong tool, missing data, loops and runaway cost, tried before launch.
- 04
Launch supervised
People approve actions at first; autonomy grows as the logs earn trust.
Tech stack
What we build it with
Four layers, each chosen per project. Open one to see what sits in it and why.
Models & frameworks
The layer that generates. Chosen per task against quality, latency and cost.
Retrieval & data
Where grounded answers come from: your documents, indexed and tuned.
Serving & ops
How it runs in production, and how you see what it is doing.
Evaluation
How we know the output is good enough before a user sees it.
More AI capabilities
Fourteen more ways we apply AI
AI Software Development
End-to-end AI product builds.
AI Chatbot Development
Smart, conversational AI for business.
AI Voice Agents
Voice intake and call handling.
Generative AI Solutions
AI that creates and innovates.
LLM Chatbot Development
Grounded in your own content.
LLMs for SMEs & Enterprises
AI built to scale with you.
RAG Model Development
Smarter AI with search + generation.
GPT Integration
AI seamlessly in your workflow.
Prompt Engineering
Better prompts, better results.
Machine Learning Development
AI that learns from your data.
NLP Development
Classification, extraction, sentiment.
AI Workflow Automation
Process automation that holds up.
AI MVPs & POCs
Proof before you commit to a build.
AI Consulting
Where AI pays off, and where it doesn't.
Frequently asked questions
The questions we get asked about AI
Data handling, output quality, cost and ownership.
Start with one task your team repeats
Two weeks, one supervised agent, a full action log and a clear view of what it saves.