Sixteen flagship engagements. Four continents.
₹50+ crore in cumulative client savings — engineered by a Microsoft-pedigree team that ships in weeks, not quarters.
Sixteen engagements ignite as you scroll — each arc a country we shipped into, each pulse a vendor invoice we replaced.
AI Linc's product development practice exists for one reason — to ship AI-native enterprise platforms that move our clients' commercial metrics. We borrow our engineering rigour from Microsoft, our pace from frontier startups, and our economics from the people who pay the invoice.
Every platform is designed with AI as a first-class citizen — never a bolted-on afterthought. From data model to release pipeline.
Eight years inside Microsoft's engineering culture, applied to every codebase we ship and every release we cut.
Re-skinnable, re-domainable, re-deployable for institutional clients within seventy-two hours of contract.
We do not bill hours. We bill outcomes — uptime, savings, conversion, retention. We share the risk because we believe the numbers.
We replace before we build.We measure savings, not story-points.We ship in weeks, not quarters —because that is how good ideas live.
We back judgment, not decks.We build for decades, not quarters —because the right institutions outlast everything.
"Replaced expensive third-party LMS licensing with a proprietary, AI-native learning orchestration system — now powering four institutional white-label deployments."
"Replaced manual cohort tracking and Excel-based skill assessment workflows with an automated, analytics-driven platform powering simultaneous multi-program delivery."
"A learner intelligence layer that replaced ZSkillUp's reliance on external personalisation vendors — and reduced learner churn by 38% in the first quarter."
"The only multilingual, timezone-aware professional training platform in Inun's market segment — Arabic, English, and Hindi delivery from a single codebase."
"Academic delivery, faculty tools, student portal, and exam infrastructure unified onto a single AI Linc–powered platform in a single semester."
"A globally distributed curriculum delivery layer across four geographies — at less than half the internal estimate, in less than a third of the time."
"Proprietary AI behavioural monitoring — replaced human proctors and third-party SaaS. Cost per exam: ₹16. Previous cost: ₹250."
"Replaced Articulate, Camtasia, Notion, Google Docs — with a unified, AI-assisted curriculum operations platform. Course production time cut by 60%."
"Custom enterprise AI assistant integrated with internal knowledge bases, ticketing, and compliance workflows. Average resolution: 14 hours to 22 minutes."
"A custom WebRTC live-class engine — full transcription, timestamped recordings, and engagement analytics native to the LMS."
"High-concurrency session delivery with adaptive bitrate streaming and real-time audience layers — 50,000+ concurrent learners per session."
"A sovereign, in-Kingdom clinical AI platform — decision support, predictive diagnostics, FHIR-compliant. Bilingual clinician UX. Zero patient data leaves the Kingdom."
"Replaced a USD 250K/year forecasting SaaS with an in-house AI demand-forecasting platform — bidirectionally synced with the client's ERP. 62% → 89% accuracy."
"Six disconnected enterprise tools replaced with a single AI-native operations platform — workflow, BI, and an internal AI assistant under one stack."
"Faculty-supervised AI authoring — replacing six-figure outsourced contracts. Textbook turnaround 6 months → 3 weeks."
"End-to-end generation, technical-accuracy validation, citation verification, multi-format export. Title throughput ~4×, cost per title down ~62%."
Cumulative Year-1 client savings — through replaced licensing, eliminated manual operations, accelerated time-to-market, and optimised infrastructure spend. Average payback period across all platforms is under 8 months.
From clinical AI to mass-scale streaming infrastructure.
Half the engagements ship faster than the client's own internal estimate.
From go-live to full recovery of engagement fees.
Documented on 15 of 16 engagements in the portfolio.
Across multi-tenant production deployments.
India, GCC, MENA, and global EdTech distribution.
Ten of sixteen engagements began as "replace this expensive third-party tool we're stuck with." Every dollar of vendor spend eliminated is a dollar of margin recovered.
Median time-to-production is 14.5 weeks. Half the engagements ship faster than the client's internal estimate would have permitted, at lower total cost than the cheapest external vendor quote.
AI Linc accepts outcome-indexed engagement structures on roughly half of all product builds — a portion of fees tied to documented savings, retention lift, or revenue uplift.
Speed and savings are outputs. The inputs are how we run engineering. These five disciplines are non-negotiable in every AI Linc product engagement — and the source of every number on this page.
Every engagement starts with one to three weeks of paid discovery. We refuse to scope blind. Every commitment is grounded in workflow audits, stakeholder interviews, and architecture reviews — not assumptions.
Every codebase ships with automated testing, code review, dependency scanning, and one-command deployment from day one. No environment is manually configured. No production push is unobserved.
Logs, metrics, traces, uptime monitoring — never an afterthought. Every product ships with operational dashboards that the client owns from production day one. Alerts wired before launch, not after.
OWASP-aligned threat modelling, encryption at rest and in transit, role-based access, audit logs. Compliance frameworks (RBI, GDPR, UAE PDPL) baked into architecture, never retrofitted.
Every engagement ships with full documentation, runbooks, on-call playbooks, and 90-day post–go-live support. Clients can take over the codebase and run it without us — and many do. We are not in the lock-in business.
Well-defined products with stable requirements and a hard ship deadline.
Fixed fee, milestone-based payments, 90-day support included.
Replatforming or licensing-replacement projects with measurable savings targets.
Reduced base fee + bonus tied to documented Year-1 savings or revenue lift.
Long-term product partnerships requiring sustained engineering velocity.
Monthly retainer for a dedicated 3–6 person squad with quarterly outcomes review.
If you have a software problem that off-the-shelf tools cannot solve, a budget that vendor quotes are exceeding, or a timeline that no one else is willing to commit to — AI Linc's product practice is built for exactly this. We close engagements quickly, scope them tightly, and ship outcomes that pay for themselves.