Six practices, one engineering standard.
Everything below ships to production under the same five-phase method: problem understood first, architecture designed for a decade, delivery you can audit.
AI & Intelligent Systems
AI that ships to production, not slideware
Strategy, custom LLM platforms, autonomous agents, and the MLOps backbone — AI engineered with the guardrails enterprises need and the outcomes boards expect.
Explore the practice- AI Strategy & RoadmapA defensible plan for where AI creates value in your business — and where it doesn't.
- Custom AI & LLM DevelopmentRAG platforms, copilots, and document intelligence built on your data, inside your boundaries.
- AI Agents & Autonomous WorkflowsAgents that execute multi-step business processes — supervised, audited, and integrated with your systems.
- ML & Predictive IntelligenceForecasting, scoring, and anomaly detection embedded where decisions happen.
- Computer Vision & SpeechCameras and microphones turned into structured, decision-ready data streams.
- MLOps & AI InfrastructureThe platform layer that keeps AI systems reliable, measurable, and affordable at scale.
Enterprise Platform Engineering
The platforms your business runs on
Custom ERP and CRM cores, ground-up product engineering, legacy modernization, and integration platforms — the systems of record that carry your operations for a decade.
Explore the practice- Custom Software EngineeringBespoke systems for the processes that make your business yours.
- Enterprise Product DevelopmentZero-to-one product engineering for ventures and institutions — like IRFC Invest.
- Custom ERP SolutionsThe operational core — orders, production, inventory, finance — built around your reality.
- Custom CRM SolutionsSales, service, and customer truth — modelled on your funnel, not a template's.
- Legacy ModernizationEscape aging systems without betting the business on a big-bang rewrite.
- Systems Integration & APIsMake a dozen systems behave like one platform.
- SaaS EngineeringMulti-tenant product engineering for companies building software as their business.
Data & Cloud
Infrastructure that scales with ambition
Cloud architecture, data platforms, DevOps, managed support, and security engineering — the invisible layer that decides whether everything else scales or stalls.
Explore the practice- Cloud Architecture & MigrationCloud estates designed for cost, resilience, and the next five years of growth.
- Data Engineering & AnalyticsPipelines and platforms that make your data arrive clean, on time, and decision-ready.
- DevOps & ReliabilityDeployments that are boring, incidents that are rare, and recovery that's rehearsed.
- Managed Cloud SupportSLA-backed operations for the platforms we build — and the ones we didn't.
- Security & ComplianceSecurity engineered into the build — and audited like an attacker would.
Digital Experiences
Interfaces people actually want to use
Web platforms, mobile applications, and product design — the visible layer of enterprise platforms, engineered to the same standard as everything beneath it.
Explore the practiceTechnology Advisory
We understand the problem before proposing the build
Product discovery, requirements engineering, digital transformation consulting, and CTO-as-a-service — the thinking phase most projects skip, and the reason ours don't fail.
Explore the practice- Product Discovery & RequirementsThe blueprint phase that makes everything after it predictable.
- Digital Transformation ConsultingSequenced modernisation for organisations ready to stop patching and start rebuilding.
- CTO-as-a-ServiceSenior technology leadership on your side of the table, without a full-time hire.
- Technology Due DiligenceKnow what you're buying, funding, or inheriting — before you sign.
Dedicated Teams
Engineers who join your team and stay accountable
Named engineers, pods, and delivery centres that work inside your process and to our engineering standard — team extension without the churn, the anonymity, or the hand-off tax.
Explore the practice- Dedicated Development PodsA standing cross-functional squad that works only on your roadmap.
- Team AugmentationNamed specialists into your existing team, working to your process.
- Offshore Delivery CentreA dedicated unit in India for a programme too large for a single pod.
- Dedicated QA & Test AutomationTesting as an owned function, not the thing that gets cut when a date slips.
- Build-Operate-TransferWe build the team, run it, then hand you the keys — on a date agreed up front.
Which practice do you actually need?
Find the sentence closest to your situation. If none of them fit, the last one is where to start.
“A packaged ERP was tried and abandoned, and we are still running on spreadsheets.”
Enterprise Platform Engineering“The board wants an AI plan and our pilots keep dying before production.”
AI & Intelligent Systems“Two departments report different numbers for the same thing every month.”
Data & Cloud“The system works but the people who wrote it have gone and nobody will touch it.”
Enterprise Platform Engineering“We have the roadmap and not enough engineers to work it.”
Dedicated Teams“Adoption is the risk. The technology is fine; nobody uses it.”
Digital Experiences“An enterprise buyer's security review is holding up a deal.”
Security & Compliance“Honestly, we are not sure what the problem is yet.”
Start with discovery
You do not have to start with a build.
Three of the four ways in end with something useful even if we never write a line of code for you.
An independent read on what you have — architecture, security posture or delivery capability. You keep the findings whoever acts on them.
2–5 weeks
Paid, contracted, and deliberately buildable by anyone. Process maps, target architecture and a phased plan that another firm could tender against.
4–8 weeks
Phased delivery into a live environment every fortnight, with the exit criteria for each phase agreed before it starts.
4–9 months
The team that built it runs it under SLA.
Ongoing
What each of these is built with is set out under technologies. If none of the situations above match yours, that is the normal case and discovery is where it gets named. To start there, discuss your engagement.