A workspace where your team and AI agents do the work together.

The work you do here teaches the agents. Each project makes them better at solving the next one.

Satalia Solve canvas overview. A project laid out across stages with AI agents working alongside the team

A place to think. Bring in what matters, work it through with your team and AI, and keep sharpening until it's done. Each piece of work feeds the next.

You work on a canvas, and everything you put on it is a card. Cards hold the things that matter to the work, like a question, some data, an answer from an agent, or a decision you made.

A look at the canvas

From brief to board pack.

Four moments from one piece of work: an example about electrifying a fleet.

Discovery and stakeholder mapping frame on the canvas, showing client brief, stakeholder map, and a swing-vote agent output
TCO and route analysis frame, with route data and a financial payback output card
Board recommendation pack frame, with the headline saving and stakeholder pre-brief plan
Expanded agent output showing the full financial case table broken down by component

Frame the problem. The brief, the people involved, and the constraints, all laid out before any work begins.

How it works

01

Lay the problem out

Put the question on the canvas, along with the data, the constraints, and the people involved. Move the pieces around until you can see how they fit together. The whole problem sits in one place, not spread across different files and threads.

02

Bring in what's already known

Past work, earlier decisions, things other teams have done. The workspace pulls in what's relevant so you build on what's already there, not just on what someone happens to remember.

03

Work it through with agents

Hand pieces of the work to AI agents. They do the heavy lifting, you steer. You can see how they got to every answer.

04

Carry it forward

What you finish, what you learned, how you solved it. All of it stays in the workspace, ready for the next piece of work.

The most important work is the hardest to repeat. Every problem is a bit different. The people are different. The constraints are different.

Start with the problem, not the answer.

Frame it well, and the right way to solve it becomes much clearer. The workspace is built to start there.

Why this works

  1. Nothing gets lost.

    Everything you and the agents do stays in the workspace, ready to pick up again.

  2. The agents learn your way of working.

    Over time they pick up how your team solves problems, not just generic patterns.

  3. Each piece of work feeds the next.

    What you finish becomes a starting point for whatever comes next.

"A problem well stated is a problem half solved."

Charles Kettering, Head of Research, General Motors

Worked example

Building a software product, week by week

One project, week by week. Every piece stays in one place: the brief, the prototype, the user feedback, the strategy, the backlog. Nothing gets lost between tools.

  1. Week 01 Brief A short note about what to build and why.
  2. Prototype A rough version to show and test.
  3. Week 02 Tested with feedback What users said. What changed.
  4. Week 03 Vision, strategy, roadmap Where you're going. How you'll get there.
  5. Week 04 Brought in marketing, finance, and leadership Talked them through it. Got their input.
  6. Week 05 Picked the approach and the tech What you'll build, and how.
  7. Backlog The list of work, in order.
  8. Week 06 Build starts Engineers and agents pick up the backlog and get going.

Everything for this product lives in one place. What worked, what didn't, how the team thought about it. All of it becomes something the next product can build on.

Three parts of the workspace

How your team thinks about problems

Your strongest people know how to frame a problem before they solve it. They know what "good" looks like. The workspace turns the way they think into something everyone can use.

A view of the workspace showing source documents flowing through problem intake, shape problem, solution design, and propose stages with AI agents

Where the work happens

Bring the problem, the data, and what's already known into one place. AI agents do the heavy lifting. You see every step and stay in control.

A piece of work in progress on the canvas, with Discovery, TCO Analysis, and Board Recommendation stages laid out left to right

What you've already figured out

Past problems and how they got solved, all connected. When a new problem looks like one you've solved before, the answer is already there. Nobody has to ask the same question twice.

A memory view showing 326 linked nodes across Vision, Brand, Focus, Base, People, Connect and Capital circles

Built by people who've done this work for twenty years

We didn't start with a product idea. We started by doing this work for clients, for twenty years. Then we built the tool we wished we had.

AI work for big companies

Satalia has delivered AI for big organisations including WPP, PwC, DFS, and Waitrose. Work that has to be rigorous, trusted, and useful in the real world.

Grounded in research

Founded by Dr Daniel Hulme, an expert in AI and future technologies. Our work is grounded in optimisation science and decision theory, not hype.

We help companies set the rules for AI

We're actively shaping how big companies govern AI agents, including WPP. Trust, transparency, and human oversight matter to us from day one.

We use the workspace ourselves

We use it to do our work. It gets sharper with every problem we solve. Now your team can use it too.

"But our work is too contextual to systematise."

We're not trying to systematise the work. We're capturing how your team frames and solves problems, so the next one starts further ahead.

Questions

An AI consultancy. For twenty years we've solved hard problems for clients like WPP, PwC, DFS, and Waitrose. That work doesn't come well-defined. It has to be shaped before anyone knows what to build. Satalia Solve is the tool we built to do that work better, and to keep what we learned each time. We use it. Now you can too.
Work where the answer depends on context and judgement. Consulting, solution design, operations, due diligence. Anywhere experience shapes the outcome.
A general AI tool starts from zero every time. It doesn't know how your company frames problems, which approaches work in your area, or what you learned last quarter. Satalia Solve gives agents that context: how your team works, your past projects, your judgement. The agent does the work. Your knowledge steers.
SolveEngine is Satalia's first product. It runs mathematical optimisation algorithms on industry problems. (The name Satalia comes from it: "SAT" for Boolean Satisfiability, plus "alia" for "and others".) Satalia Solve sits a layer above. It doesn't run the algorithms. It frames the problem, picks the right method, and keeps the thinking behind the choice. SolveEngine runs the algorithm. Satalia Solve decides which one, and why.
Whichever AI model is best for the job. The model does the work. The value sits around it: the context, how your team works, what your company has learned. The model is replaceable. Your company's knowledge isn't.
Satalia helps big companies set the rules for how AI agents should be used, including at WPP. In Satalia Solve, you see every step an agent takes. You can review it, change it, or stop it. The agent doesn't act without you.
A week. You start by putting your strongest methods into the workspace, then refine them as you go.
No. You keep the nuance. The workspace captures how problems get framed, which approaches worked, and what you learned. The next problem is faster. The work doesn't get flattened into a process.
First session. The workspace sharpens how you frame and tackle problems from day one. And every problem you run through it makes the next one easier.

Your company already solves hard problems. Make sure each one helps the next.

Every problem you solve teaches you something. Satalia Solve keeps what you learn so the next one is easier.

Book a 20-minute walkthrough. We'll show you how it works using a real problem from your business.