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Build the product.
Deploy with confidence.
Scale with control.

Aillegent turns business requirements into dependable digital products, and stays until they run well in production.

One partner across the product lifecycle

01

Product Engineering

Custom platforms, backends, and APIs built around real business requirements.

02

Applied AI

AI products, custom LLM systems, and agentic automation that reach production.

03

Data Engineering

Warehousing, pipelines, and analysis that make data dependable.

04

Cloud & Platform

Secure deployment with CI/CD, containers, monitoring, and governance.

05

Quality Engineering

Automated web, API, and performance testing for release confidence.

06

Cost Optimisation

Lower the cost of delivery, infrastructure, and ongoing operations.

Engineered for measurable outcomes

We optimise for what a business can actually feel: faster releases, lower run-cost, and reliability that holds under real demand.

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Core engineering capabilities
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Products we build & run
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Industries we serve
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Stage delivery cycle
Cost per release, over time
Trend
M1M3M5M7
Cloud + delivery costTrend
Where an engagement focuses
Typical mix
100%LIFECYCLE
Build & ship 45%Quality 30%Optimise 25%

From requirement to reliable production

Good delivery is not a handoff from discovery to development. It is a connected cycle that keeps business context, architecture, quality, cloud operations, and cost decisions aligned. Select a stage to explore it.

Stage 01 / 06Discover
Stage 01: Discover

Discover

Turn business goals, user needs, and domain context into a clear problem to solve.

OutcomePrioritised requirement definition
Scroll to move through the cycle

Proof in the outcomes we deliver

What focused engineering changes for the teams we work with, from cloud run-cost to release speed and production-grade AI.

Cloud infrastructure being right-sized
Cloud · Cost
70%
Lower cloud run-cost after right-sizing infrastructure and removing idle capacity across environments.
Automated delivery pipeline
Quality · Release
Faster, safer releases once automated web, API, and performance testing joined the delivery cycle.
AI removing manual effort
Applied AI
40%
Manual effort removed from an expert process with a focused, production-grade AI capability.

The right engineering support at every stage

01 · Quick MVP

Quick MVP

Validate a focused product idea quickly with the right core features, architecture decisions, and delivery path.

02 · Startup Growth

Startup Growth

Strengthen the platform with scalable development practices, automation, AI capability, and cloud foundations.

03 · Enterprise Production

Enterprise Production

Add deployment support, stabilisation, governance, monitoring, performance engineering, and operational cost control.

Products we build, own, and run

Our own products are the clearest proof of how we design, ship, and operate software in production.

Creative AI

Shilp

AI prompt generation for Indian-style cinematic storytelling, shaped by your creative intent.

Explore Shilp
Photography AI

Eventik

AI photo delivery and complete studio management for event photographers: guests find their photos with a single selfie.

Explore Eventik
Industrial EHS

Permit360

The electronic permit-to-work system for modern plants: configurable permits, approvals, and live visibility.

Explore Permit360

Engineering shaped by domain understanding

We work where business processes, data, compliance, reliability, and operational speed all matter. Our approach starts with the domain, not just the technology choice.

What partners value

Aillegent felt less like a vendor and more like an extension of our own team. They understood what we were building, moved fast without cutting corners, and what they shipped held up in production.

AG

They started with our business problem, then earned every technical decision from there: nothing over-built, nothing left half-finished.

The delivery stayed connected end to end. Architecture, quality, and cost were part of the same conversation the whole way through.

From a rough idea to a running product, the team kept us moving with clear communication and engineering we could depend on.

Have a product problem worth solving?

Whether you are validating an MVP, improving an existing platform, deploying AI, or bringing a production environment under control, we can help define the next practical step.