Built with the models shaping what’s next.
Your pilot works. It is still not in production.
It works in the demo and breaks on real traffic.
No security boundary. The model reaches tools, secrets and data it should not.
The fix is runtime infrastructure — permissions, scoped memory, audit, cost control. Not prompt work.
Months of platform work that ships no visible feature. It loses to the next pilot.
Every use case restarts from zero. You accumulate pilots, not capability.
The missing runtime. Not the model, not the prompt.
We built that runtime once, in the open. Your first agent starts at the production line, and so does the second.
One run, end to end
What an agent we build actually does, in order.
It starts where the work already starts
A message in the channel your team already uses, or an event in a system you already run.
WhatsApp, voice, web, Slack, Teams and Telegram are built. Every conversation is walled off.
It reads your systems, not the open web
Connected to the CRM, ERP, telephony, messaging and documents the job actually needs.
Memory is scoped. The agent sees what its role allows and nothing else.
Built for one function, not as a general assistant
Collections, support, lead discovery, document and tender processing, scheduling, voice front-office.
Grounded on your data. Frontier models, or open-source models on your own hardware.
It writes back into your systems
The line most pilots never cross. Answering is easy; acting at volume has to be engineered.
Every action permission-checked. Secrets never reach the model. No self-granted powers.
Measured against a quality bar you agree
An evaluation harness ships with the agent, so quality is a number rather than an impression.
Below the bar it hands to a human. Every action is recorded and traceable.
It gets better after go-live
We monitor it, correct drift, retune it, and expand it into the next part of the function.
The run is part of the engagement, not an upsell.
AI without giving up control of your data.
Our agents run on Gantry, our open-source agent runtime. It treats model output, provider SDKs, workers and local tools as untrusted execution surfaces — because that is what they are.
- Your cloud, or ours
Public, private, or on-premise when the data cannot leave your network.
- Your models
Frontier or open-source, on your own hardware. Swapping is a config change, not a rewrite.
- A full record
Every action traceable. Secrets held outside the model, permissions checked at the boundary.
- A public standard
We ship through Symphony Forge: sixteen gates, and nothing ships without a plan, tests and review.
ISO 27001 and SOC 2 certification in progress (started August 2026). Both repositories are public.
Agents we have shipped
These figures describe what each agent does. Where an outcome is not measured yet, we say so.
Watches tender portals, qualifies every RFP against the business profile, and answers questions about them in Microsoft Teams.
Read the case study →Answers customers on WhatsApp and the phone, looks up orders, captures gifting leads, and hands to a human when judgement is needed.
Read the case study →Drafts the job description, opens the requisition, posts the role, then reviews and scores every applicant against it.
Read the case study →Provisions every account on onboarding, shuts them all down on exit, and routes licence requests through approval.
Read the case study →Nine years building production software since 2016 — including version one of Interakt, now serving 50,000+ businesses.
A prototype in week one. Live in about six weeks.
A demo agent is easy. A secure, auditable one in production is where most internal builds stall.
Common questions
Usually no. We start with a frontier model grounded on your data, and stay model-agnostic so you can move to open-source once the use case is validated.
A prototype in the first week. Production quality takes a few more weeks of knowledge and evaluation iteration.
You own your data and your configuration. Gantry, the runtime, is licensed to you rather than assigned.
Yes. Public cloud, private cloud, or on-premise with open-source models on your own data centre.
Tell us the function. We will show you the agent.
Describe the job you would hand to an agent. An engineer replies within one business day.