95 %
of GenAI pilots show no measurable P&L impact
MIT NANDA, 2025
友 TOMO (FRIEND) · 気 KI (ENERGY)
The agentic layer that runs inside your company.
Tomoki designs, deploys and operates expert-guided AI agents inside your operation. On your own infrastructure, under your governance, and instrumented for measurable return before the work starts. Live in weeks, not quarters.
01 The gap
Everyone buys AI. Almost no one reaches production.
Frontier models answer for cents, so technology is not the bottleneck. The gap sits between a dashboard full of numbers and a team that knows what to do on Monday. Orphan pilots die quietly, and the platforms that do know how to deliver will not operate where the data cannot leave. Demand is proven. Delivery is the bottleneck, and delivery is what we sell.
1 %
of organisations have reached the AI-optimised enterprise stage
IDC AI Maturity Benchmark, 2025
50 %
of worldwide AI spending will be agentic systems by 2029
IDC, 2026
The wave is already bought. Almost no one has a way onto it. That distance is the whole of our work.
02 What we do
Agents that cover a role. Not chatbots.
Each agent tracks your data, runs the analysis against your business rules and builds the deliverable that moves the team to action. With names, clear responsibilities and metrics.
Sovereign by design
On-premise, in your private cloud or inside your jurisdiction. Data never leaves your perimeter and never trains anyone else’s models: the condition for operating in health, genomics, banking and any regulated estate.
Local-first, stack-agnostic
We adapt to your tools, your models and your local inference engines, in your team’s operating language. No rip-and-replace, no lock-in.
Outcome-instrumented
Baseline before, dashboard after. Every agent starts with a target metric and is tracked against it in production. Return, not deliverables.
Your infrastructure · your governance
Inside the operation, not pitching from outside.
03 Verticals
Where the data is critical and cannot leave.
Four grounds where sovereignty stops being marketing and becomes a requirement, in any market.
Logistics & Fleets
Real-time telemetry, routing, predictive maintenance and operational control of the whole fleet.
01DOOH & Media
Ad-fleet tracking, signage-network monitoring, advertiser reporting and automated marketing ops.
02Health & Genomics
Confidential processing on local engines: sensitive data never leaves the institution.
03Banking & Finance
Reconciliation, risk and service across regulated processes, fully traceable and fully compliant.
04 04 Method
Four phases, from inside.
We do not leave a client alone with a tool, because tools fail when nobody adopts them. We work alongside the team until the case runs in production.
- 01
Understand
We map processes, data and the real pain. We prioritise where AI moves the needle and set the metric before writing a line of code.
- 02
Automate
Manual work becomes efficient flows that free up the team.
- 03
Custom agents
Designed for the operation, integrated with the client’s tools and data.
- 04
Adoption
We train their people: capability that stays, and a culture that adopts.
The delivery commitment.
The three things you can hold us to, agreed in writing before any work begins.
- Before An agreed baseline
We measure the process as it runs today and set the target metric together with your team. If it cannot be measured, we say so and we do not take it on.
- Weeks First agent in production
Not a demo and not a proof of concept: an agent operating on your real data, inside your perimeter, with real users.
- After The dashboard keeps running
Your team governs and extends the agents. The capability stays inside your company: it does not leave when the engagement ends.
05 Traction
We are already inside.
We have agents in production today with real clients across media & DOOH, retail and restricted-data environments where privacy was non-negotiable. Not pilots: processes that run every day and would be missed if they stopped.
The model has already proved out at scale: the fastest-growing platforms in the category got there with teams embedded inside the client’s operation. None of them yet operates where the data cannot leave. That is the ground we take.
06 Who is behind it
Engineering, not PowerPoint.
Tomoki was founded by engineers with more than twenty years building technology for some of the largest companies in the world, and a decade in applied artificial intelligence. Projects of every kind, for clients across several continents. We watched too many pilots die and built the team that carries them into production.
- 20+ years in enterprise technology
- A decade in applied AI
- Projects across several continents
- An engineering team, not a sales team
07 Questions
What people ask us most.
01 Is this just another chatbot?
No, and it is not one more dashboard either. The agent tracks your data, runs the analysis against your rules and builds the deliverable that moves the team to action. End to end, focused on the return.
02 Where does it run, and what happens to our data?
Wherever you decide: on-premise, in your private cloud or inside your jurisdiction. The AI uses your models and your data, and nothing leaves your perimeter or trains a third party’s models.
03 Do you work outside your own country?
Yes. The model is remote and embedded: we work inside the client’s operation wherever it is, and deploy on whatever infrastructure and jurisdiction their regulation requires.
04 Do you work with the tools we already have?
Yes, that is the starting point. We are stack-agnostic and local-first: we integrate with what is already in place instead of asking you to replace it. No lock-in.
05 What if our team builds it, or we buy a tool?
Self-service tools produce prototypes. We deliver operation: reconciled data, business rules, team adoption, metrics and maintenance. When the data is sensitive or the process is critical, that is where we come in.
06 Why not a large consultancy or a global platform?
Consultancies leave a PDF; we leave agents running with a live metric. The global platforms deliver well, but they will not operate where the data cannot leave, and they are priced for a multinational.
07 How do you measure the return?
We set a baseline before starting and track the metrics on a dashboard. Outcome, not deliverable.
Contact
Bring AI into your company, with an expert friend.
Tell us which process hurts. We work in any time zone.
No silver bullets. We stay until it runs in production.