Enterprises buy that combination from us to get the technology and the agility to stay ahead — and advantage they can measure. Below: the three ingredients, the five practices they reach you through, and how we stay accountable for the result.
Most firms are strong in one and thin in the others. A domain specialist cannot engineer at scale; a strong engineering shop needs six months to learn your regulation; an AI boutique has never had to keep anything running. The gap between them is where programmes stall.
Card issuance built to PCI‑DSS. A session management function written to 3GPP Release 17 and proven in lab. Remittance corridors clearing over a billion dollars a month. A learning platform carrying three thousand students through a term. Because we have already built those, we arrive knowing the settlement cycle, the conformance clause, the audit trail and the term date. The first month goes on building rather than on being briefed — and where we are new to a sector, we say so on the page rather than in month four.
TurfAI is the product our own team builds and maintains: enterprise search, workflow agents, document intelligence, biometrics and visual search, delivered as components rather than re-invented on every engagement. That is why our timelines are short and a second engagement usually costs less than the first.
Underneath it sits the half most firms skip — evaluation harnesses, guardrail testing, regression under non-determinism, drift detection and audit trails. Capability is becoming a utility. Being able to certify how the thing behaves is not, and it is the reason most pilots never reach production.
Two decades of platforms that reconcile, survive an audit and stay up: full-stack product builds, partner platform operations, infrastructure modernisation, release certification on estates that cannot go down. Three commitments rather than one. Most firms in our band sell the build and hand you the keys; the harder half of the value, and all of the risk, sits after go-live.
A platform that ships faster, costs less to run, and can be shown to be correct — each measured against the baseline you had before we started, not against a vendor calculator. Every number on this site carries that baseline, its date and its client context.
Each is a capability you can buy on its own. Most clients start with one and add the second.
Fixed scope. Fixed price. A date. Full-stack product and platform builds, from an MVP that has to exist in three months to a card management system that has to pass PCI‑DSS. Architecture and refactoring for scale, performance engineering, API-driven microservices, cloud-agnostic by default. This is where OpenTurf’s custom development and solutioning work now lives, alongside the enterprise application and legacy modernisation practice built at IMSS. Ownership of the IP remains with you. It always has.
See Product Engineering
Discovery, deployment, and run. The practice that takes a platform someone else wrote and makes it work in your estate — then stays accountable for it. Elastic, Red Hat and OpenShift, SUSE, Tricentis, UiPath. Infrastructure modernisation, IT operations management, observability and SecOps, cloud cost engineering across AWS, Azure and private cloud. Most firms in our band sell build. Very few sell run. This is the difference.
See Platform Delivery & Operations
Manual, automation, and AI-led. i3QA™ testing services: functional and regression, API automation, performance, security and compliance testing, and release-cycle reduction for platforms that had none of it. And the newer half of the practice — assurance for systems that no longer behave the same way twice: evaluation harnesses, guardrail testing, regression under non-determinism, drift detection, audit trails. If you cannot certify how a system behaves, you cannot ship it. That is the bottleneck most AI programmes actually hit.
See Quality Engineering
Delivery on our own IP. Client projects built on TurfAI, the product our own Product team develops and maintains. Enterprise search and conversational AI, workflow automation agents, document intelligence for invoices, receipts and contracts, biometrics — face, signature, voice — and multi-format visual search. Robotic process automation where the process is stable and the volume is high. A product team behind the practice means you are not paying to invent the same plumbing twice.
See TurfAI
Our people, inside your organisation. Embedded engineering teams that report into your rhythm, not ours. The Virtual Technology Office — an extended execution arm for a CTO who needs reach without headcount. GCC and GCoE enablement, managed GCC and ODC, technology audits, due diligence including cyber-security, and technology roadmaps. Build‑Operate‑Transfer and Build‑Transfer where the team should end up yours. The decision is no longer make or buy. There is a third option, and this is it.
See Extended EngineeringMost delivery problems are accountability problems wearing a technical costume. So we made it structural: every engagement has exactly one practice accountable for how it is built and one domain team accountable for the commitment made to you. Neither changes halfway through.
The table below is the live picture — engagements per cell as of August 2026, not headcount. A client served by two practices appears twice, so the totals count engagements rather than logos. We publish it because a firm that will not show you this usually cannot.
Live engagements by practice and by the domains that carry a dedicated team, August 2026. A third such team forms before November 2026. Our other six delivery domains are on the industries pages.
| Practice | Telecom | BFSI | Third team | Total |
|---|---|---|---|---|
| Product Engineering | 3 | 6 | — | 9 |
| Platform Delivery & Operations | 1 | 6 | — | 7 |
| Quality Engineering | 2 | — | — | 2 |
| TurfAI | 1 | 1 | — | 2 |
| Extended Engineering | 1 | 3 | — | 4 |
| Total | 8 | 16 | 0 | 24 |
Shared across every cell: the Product team that builds TurfAI, the Office of Innovation, IT, Finance and People.
Presales sits inside the domain team, not in a separate sales function, and shapes the work with the practice that will build it. Nobody is incentivised to sell a scope somebody else has to survive.
When something goes wrong there is a practice lead who owns how it was built and a domain lead who owns what we promised you. Neither changes halfway through, and neither can point at the other.
Code review, architecture authority and the hiring bar belong to the practice, not to the team assigned to you. Two clients of the same practice get the same engineering discipline.
Not a category — the release that keeps slipping, the certification in March, the platform nobody wants to own.
Often it is two, and occasionally the honest answer is none of ours.
Where we would be learning your sector, we say so and scope smaller.
and if we think the scope, the constraint and the date are incompatible, you hear that before you sign rather than in month four.
Most real problems cross two of them. Describe the system and the constraint you are up against, and we will tell you which practices are involved and which one should own it.
