Equiti Ventures is a senior technology practice. We work alongside the leaders running complex estates, form an independent view of what is really happening across AI, Data, Cloud, Analytics and Technology Economics, recommend the change, and where invited, stay to build it with you.
A data team is fighting a symptom the cloud team caused. An AI pilot is stalled because no one owns the pipeline underneath it. A vendor contract renews on autopilot while three product teams quietly route around it. Each piece looks reasonable on its own. The system doesn't.
That is the work. We spend time with the people closest to the problem, follow the threads across teams, and write down in plain English what we think is really going on and what to do about it. Sometimes that becomes a strategy. Sometimes it becomes a fix. Usually it's some of both.
We are not a fit for every engagement. Our best work happens when the problem is genuinely systemic and the organisation wants a real answer, not a second opinion that agrees with the first one.
An estate that grew faster than the operating model. Fragmented data, a cloud footprint with less governance behind it than the bill would suggest, an AI mandate with no plumbing. We help the leader step back, see the whole picture properly, and choose the handful of things actually worth doing.
Technology diligence that goes past the risk register into what the platform actually is. Post-close work where the story on the deck has to become the operating reality. Practical, hands in, told plainly to a board that has heard enough consultant talk.
You don't need a strategy. You need someone senior who will sit with you, argue the architecture, and stay on the ground while it gets built. We take on a few of these each year. The ones where the technology decision decides the company.
Much of the demand we see today comes from small and medium-sized organisations whose core business is not technology. Real businesses with real customers, run by leaders who now have a genuine reason to bring AI into the work, and no obvious way to do it well. There is no CIO to lean on. The internal team is capable but stretched. The vendors calling are selling proofs of concept, not outcomes.
We are a fit for that. A senior partner sits with the leadership, understands the business as it actually operates, identifies where AI and modern data workflows would genuinely change what the organisation can do, and then implements the systems end to end. Data, models, integrations, the operational plumbing behind them, and a shape the internal team can run once we step back. Plain language throughout. No large program. No proof of concept left sitting on a shelf.
We start with the work, not the technology. Where the days actually go, where the frustration sits, what a better outcome would look like from the leader's chair. Then, and only then, we talk about what AI can and cannot help with.
Choosing the right models and vendors. Building the data and integration layer. Standing up the workflows and the interfaces the team will actually use. Getting it into daily operation and keeping it there.
Once the systems are running and the team is comfortable, we step back. Documentation the people using it can read. A relationship that continues at a light touch as the business evolves. No lock-in dressed up as partnership.
Each one deep enough to stand on its own. The value is that we don't treat them as separate. In your estate, they aren't.
Cutting past the hype to the handful of use cases that would actually change a decision someone makes. What to build, what to buy, what to leave alone.
Getting the estate to a place where the people who need an answer can find one. Governance a regulator would recognise. Models a business will actually trust.
Untangling the footprint. Making the platform useful to the product teams that live on top of it, instead of a tax they route around.
Cloud bills that grew faster than the business, often for reasons that are invisible from the invoice itself: a deprecated service migrated to a pricier tier, a version upgrade that changed the default, an instance family that no longer fits the workload. Usage-based services and AI token spend without the governance to explain either. Licences and vendor contracts renewing without a fresh view of whether they should. Infrastructure built twice because the shared version was harder to adopt than to duplicate. We bring the visibility and the governance behind the numbers, and where invited, help put both in place.
Engineering operating model, delivery cadence, the small structural choices that decide whether teams get to ship or spend the year in meetings.
Two modes, one perspective. Advisory is the front door: a diagnostic, a written point of view, and a set of recommendations. Where the organisation wants the same people to carry the recommendation into delivery, we do that too.
Two to four weeks. Conversations with the people doing the work, not only the ones presenting it. Time inside the tooling, the data, the bills, the codebase.
A short document, in plain English. What we think is really going on. What to do, what to stop, what order to do it in. Risks we can see. Trade-offs we are recommending.
Infrastructure, platform work, product and mobile engineering, or the quiet optimisation of an implementation already in flight. Same senior people, working alongside your team, only where it genuinely helps.
A running conversation, not a status report. Quarterly reviews of what actually changed versus what the document said. If we got something wrong, we say so.
Anonymised. The point isn't the metric. It's the kind of thing we look at, and the kind of thing that tends to come out of it.
Board had asked for "an AI strategy." The real issue was three data teams building the same pipelines. We wrote the read, consolidated the pipeline, and the AI use cases started shipping on their own.
Bill was up 40% year on year. The platform team was blamed. Actual cause was a product team using the platform in a way it wasn't designed for. Fixed once, saved thereafter.
Two engineering orgs, one product roadmap, no shared architecture. We ran integration as a program, wrote the target state plainly, and stayed for the six months it took to become real.
They saw the thing our own team had been circling for a year. Written down in a page and a half. Then they stayed to help us do something about it.Chief Technology Officer
Not a deck, not a plan on a wall. A senior partner in the room, arguing the trade-offs with our engineers, and telling us straight when we were wrong.Chief Information Officer
A conversation first. Then a short written read of what we think is going on. No proposal, no deck. If we're the right people to help, we'll say so. If we're not, we can usually point you to who is.