We don'tbuildchatbotsWe provideAgents-as-a-Service
Autonomous agents that research your markets, produce your campaigns and talk to your customers — grounded in your own data, running while your team sleeps.
Independently recognised
One of 27 companies worldwide
on the Everest Group Agentic AI Matrix
on the 2026 matrix
included
Agentic AI Products
recognition, 2024
Listed alongside Microsoft, Google, Amazon Web Services, IBM and Salesforce. We are not on that list for breadth — we are on it because every agent we build is purpose-made for marketing and sales, and grounded against your own systems before anything ships.
Our mission
We build AI you can hand real work to.
Most enterprise AI never leaves the pilot stage. Industry estimates put failure rates at 70 to 80 per cent — impressive in a demo, unusable in production. Ours holds up. Every agent is grounded in your own systems and checks its output against source before anything ships, so the work it produces is safe to publish and easy to audit. That is the difference between an experiment and a workforce, and it gives your team back the week they would rather spend on strategy, creative work and customers.
What they do
Six jobs nobody
should be doing by hand
Retail
Campaign management
The Marketing Agent reads your product records, writes the copy, builds the layout and hands your designers an editable file. A second agent checks every price before it ships.
Communications
Brand monitoring
News, regulatory filings, political speech, patents and social — every language you operate in, refreshed continuously.
Strategy
Market intelligence
Ten emerging sectors analysed in parallel, in one consistent format, sourced entirely from real published material.
Insurance
Lead qualification
First touch across web chat, email and WhatsApp. Real qualifying dialogue, calendar booking, and the CRM entry written back — before anyone on your team opens their laptop.
Sales
Account research
Research, decision-maker identification, a written report and a meeting-ready deck — generated per target company, before the first conversation.
Energy
Innovation scouting
Company discovery, fit analysis, monitoring, contact identification, reporting and deck generation — connected end to end.
How we deploy
Four weeks from bottleneck
to production
Scoping session
You bring one real bottleneck. We map the process, the data it touches and the number it should move. You get back a concrete agent design and a cost model, not a slide deck.
Grounding in your data
We wire the agent into the systems of record — SAP, Salesforce, your DAM, your calendar. The trust layer is configured here: what counts as a source, what must be cross-checked, and what may never be improvised.
Supervised run
The agent works alongside your team with every output reviewed. We tune the grounding rules against real cases until the error rate is flat at zero and your brand team is happy to publish what comes out.
Autonomous production
The agent runs unattended on a base fee plus per-task subscription. It hands work to the next agent in the fleet, and you add the second one when the first has paid for itself.
Measured, not promised
Numbers our customers
took to their CFO
Cut in the cost of deep customer intelligence.
Market intelligenceHigher conversion on 1:1 prospect conversations.
Lead qualificationFaster multi-channel asset creation on national rollouts.
Campaign managementHallucination rate on published executive reports.
Trust layerEuropean Hypermarket
“We stopped asking whether the output was correct and started asking what else we could hand over.”
Exhibition operator
A global consumer goods manufacturer
“Every target account now arrives with a report, a deck and a partnership roadmap attached. Nobody builds those by hand any more.”
“We stopped asking whether the output was correct and started asking what else we could hand over.”
Where they run
Live in production.
Not in pilot.
Retail & Consumer GoodsMajor European Hypermarket · National rollout
Product brochures for hundreds of stores, without a single manual brief.
Weekly leaflets generated straight from product data — copy, structure and layout — keeping pace with a promotional calendar that never stops.
Insurance & Financial ServicesAXA · 94M clients, 50 countries
Thousands of prospects qualified daily, with no human on first touch.
Every enquiry engaged instantly and qualified through real dialogue, with warm leads handed to human teams at any hour and any volume.
Energy & UtilitiesPetrobras & E.ON · two deployments
Six manual research tasks replaced by one connected pipeline.
From global reputation monitoring in real time to innovation scouting that walks into the meeting with the deck already written.
The platform your agents
actually run on
Every agent gets an interface built for its job, not a chat box. Workspaces, task settings, live pricing and token budgets — the operational surface your team works in every day.
Purpose-built interfaces
A monitoring dashboard, a structured report, an editable layout file. Whatever the work actually needs.
Grounded before it ships
Every claim cross-referenced against your systems of record, with a full audit trail behind it.
Yours or ours
Run as a service on our infrastructure, or deployed inside your own estate where residency demands it.
Why us
Domain knowledge and engineering, in the same room
Most vendors have one or the other. Consultancies understand your marketing operation but cannot build. Engineering firms can build but have never run a trade promotion cycle, a lead funnel or a brand monitoring desk.
We do both, and that combination is what turns an interesting pilot into a system your team depends on. Our people have working experience at SAP, Volkswagen, Porsche and Fraunhofer.
Agents-as-a-Service. We take the IT burden off your desk, we have already proven it works, and we carry the risk of making the project succeed.
About us
Who is behind this
Operational leadership backgrounds, engineering histories, and a habit of publishing what we learn.
Accuracy & trust
How we eliminate hallucination
Not with a better prompt. With an architecture that refuses to publish anything it cannot trace to a source.
Objections we hear
The hard questions
Architecturally, not with a prompt. Every factual claim an agent produces is deterministically cross-referenced against your systems of record before it leaves the trust layer. If a statement cannot be traced to a source, it does not ship. That is why our reports carry attribution on every line, and why the published error rate is zero rather than low.
It replaces the parts of their week they would hand over gladly — reformatting, repricing, re-laying-out, chasing the same competitor news every Monday. Designers still get an editable .idml file, not a locked export. What changes is that nobody spends Thursday rebuilding a leaflet that a machine could have drafted on Monday.
Into an orchestration layer you control, with full auditability and a choice of models — including deployment in your own environment where data residency requires it. We integrate with the legacy estate rather than routing around it, which is usually the difference between a signed rollout and a pilot that quietly expires.
A base fee covering onboarding, integration, monitoring, maintenance and support, plus per-task pricing for the work the agents actually do. Cost tracks usage rather than seat count. Most customers start with a single agent against one measurable bottleneck and add the second once the first has paid for itself.
Four weeks is typical for a first agent in supervised production: one week to design, one to ground it in your data, one supervised run, then autonomous operation. Complex multi-agent pipelines take longer, but you see real output on your own data inside the first fortnight.
Bring one bottleneck.
Leave with an agent.
Tell us about one real process in your marketing, sales or market intelligence operation. We come back with a concrete agent design and a cost model for running it.