India's Innovation and Invention Ecosystem

India's Innovation
Pipeline Is Open.
Finally.

5.7 crore MSMEs · 1.5 million engineers · One structured bridge to Viksit Bharat 2047.

ForgePoint helps India's MSMEs solve their toughest operational and engineering problems. Every engagement begins by finding the one constraint actually limiting performance — rarely the problem that's easiest to see. We then implement proven solutions where they exist — or invent new ones, through faculty-led student engineering teams supported by AI. Practical, implementable solutions that improve business performance by a multiplier — at a price point built for MSMEs, not boardrooms.

An India where every business can access world-class problem solving, and every engineering graduate enters industry forged by solving real industrial problems.

Bring a Problem → See How It Works

The Problem

India's Problems Can't Find Talent.
India's Talent Can't Find Problems.

1.5M+

Engineering & Science grads completing a final-year project every year (AICTE)

5.7Cr+

Registered MSMEs seeking affordable R&D (Udyam, 2024)

<1%

Graduate projects that ever reach commercial deployment

The MSME Owner With No Safe Way to Try

India's MSMEs sit on unsolved operational and technical problems — automation they cannot deploy, AI they cannot afford to explore, process inefficiencies that consultants would charge lakhs to address. Their budget does not extend to formal R&D. Their networks do not reach the right talent.

The real blocker is structural: no credible way to act, individuals who absorb the risk of failed pilots, and innovation that is always optional when production targets are not.

The Engineer Who Never Met Industry

Four years of mechanical, electronics, CS, mechatronics. Labs, theory, viva. And then a final-year project chosen from a YouTube tutorial — because no MSME owner ever walked into the campus to say "this is what I actually need." 1.5 million graduates a year. Less than 1% touch a real industrial problem before they get a degree. The rest are graded, filed, and forgotten.

The gap is not talent. It is not intent. The gap is the first industry handshake — a structured connection that does not exist. And because it does not exist, the cycle compounds every year: another batch graduates having never seen the floor they're supposed to transform.

ForgePoint is the missing layer.

The talent pipeline and the industry pipeline both exist. What has never existed is the structured bridge between them. We diagnose the real constraint, then implement a proven solution where one exists — or seed the problem into curated, faculty-led talent pools to invent one where it doesn't. We manage structured delivery end-to-end, enforce IP frameworks, and close every engagement with a working solution in the business. We are not a better version of what exists. We are the layer that was missing.

How We Work

Two Tracks.
One Discipline.

Not a consultant report. Not a vendor demo. Not a hackathon that ends on Sunday. Not an academic project. Every engagement begins with the same diagnosis. Where a proven solution already exists, we implement it — the Innovation track. Where none does, faculty-led student engineering teams invent one — the Invention track. The steps differ; the discipline doesn't.

DIAGNOSE

Constraint Diagnosis (TOC) · the shared front door

Every engagement starts here, and nothing is committed until it's done. We find the one constraint actually limiting performance — rarely the problem that's easiest to see. The diagnosis scales to the problem: a TOC-aligned problem brief in 1–2 weeks, through to full TOC problem diagnostics over 3–4 weeks with NDA, scope and commercial terms, closing with a debrief session. Its output sets everything that follows — the constraint, whether a proven solution already exists, and therefore which track you run.

Innovation Track Proven solutions · ForgePoint's TOC consulting experts

DESIGN

Fit the Solution to You

Package and customisation design and development. The solution already exists — the work is making it fit your operation, your data and your floor.

IMPLEMENT

Deploy It for Real

Continuous integration and deployment, with ongoing improvement built in rather than a one-off install. Where the proven solution is an AI one, this is where it gets applied — trained on your data and fitted to your floor. Typically 6–9 months.

OPERATIONS

Hand It Over

Handover to operations — business and IT. The solution runs in your business, owned by your people, not dependent on us.

Invention Track New solutions, R&D · faculty-led student engineering teams

CURATE

Build the Right Team

A faculty-led team is matched to the problem on skill-problem fit, not college brand — drawn from our curated pool of post-graduate institutes and engineering colleges, with early-stage startups brought in where a problem calls for it. Briefed from the diagnosis, not starting from theory. IP & NDA framework signed before work begins.

Selection is competitive. Being chosen means something. Teams arrive motivated, not defaulting.

SPRINT

12–16 Weeks. Structured. Accountable.

Weekly check-ins, faculty mentoring the work day to day, advisor and consultant governance. G1 mid-sprint pivot point — all teams re-confirm direction. Industry contact limited to 6–8 hours total. Sprints may repeat for multiple prototype revisions.

At Gate 1, teams re-confirm their approach. Urgency and structured course-correction — not cuts.

DEMO

Demo Day → Pilot Commitment

Industry partner attends Demo Day with a pre-committed pilot conversation. A working prototype is demonstrated — not a PowerPoint, not a simulation. The pilot conversation was built into the model from day one.

A real client in the room. Not a certificate — a career or commercial moment.

Your track and duration are locked at DIAGNOSE.

Which track you run — and how long it takes — is determined by the diagnosis, based on the nature of the problem and whether a proven solution already exists. ForgePoint does not curate a team or design a solution until the problem brief and track are determined. The tracks aren't sealed off from each other: where an Innovation engagement runs into something that still has to be invented, it draws on Invention teams as needed — same governance, same accountability, no second engagement to negotiate.

The Network Behind the Sprint

See the full ecosystem map

MSME partners · Industry mentors · Domain advisors · Engineering colleges · Startups · Student teams — and how they connect.

→

For the Engineer

What the Engineer
Walks Away With.

The sprint IP belongs to the Industry Partner — that's non-negotiable, and it's what makes MSMEs trust us. But the engineer leaves with something no classroom delivers.

A Deployment, Not a Project

A working solution on a real shop floor, with an industry-partner reference attached to it. Verifiable. Referenceable. The strongest possible first line on a CV for an engineer entering the workforce.

Domain Fluency

You now understand an industry from the inside — not from a case study. You've seen the floor, the constraints, the people, the economics. That fluency compounds across every job and every problem you take on afterwards.

For most, the strongest first job they could ask for. For a few, the start of something they'll build themselves.

When an engineer has diagnosed a problem, shipped a solution, and watched it earn a paying pilot, they've learned where the next ten problems live. If that becomes a venture, the ForgePoint network — mentors, advisors, ecosystem — is there.

AI in Practice

Where AI Earns
Its Place.

AI accelerates the analysis and is part of the solution we build. Once the diagnosis has found the real constraint, these are the three problem classes where AI's ROI is clearest — illustrative, not exhaustive.

◎

Quality & Inspection Problems

Computer Vision

Skilled labour is scarce, inconsistent, and a single point of failure.

Vision-based inspection and AI-guided process consistency reduce dependence on tacit human knowledge — so quality holds regardless of who is on shift.

→ Quality inspection · Defect detection · Process monitoring

◈

Reliability & Maintenance Problems

Predictive Analytics

Machines fail without warning. Downtime is expensive. Maintenance is reactive.

Sensor data and pattern recognition identify failure signatures days before breakdown — shifting maintenance from reactive to scheduled, and scheduled to predictive.

→ Predictive maintenance · Anomaly detection · OEE optimisation

◇

Consistency & Yield Problems

Process Optimisation

Yield varies. Root cause is unknown. Every shift produces a different outcome.

Process parameter capture and optimisation models find the settings that consistently produce the best output — making that knowledge independent of any individual operator.

→ Yield optimisation · Parameter tuning · Root cause analysis

If foundation is missing

AI Readiness Sprint

4–6 weeks · Data architecture, process baseline, AI roadmap

→

AI on the shop floor

AI Solution Sprint

12–16 weeks · Working AI prototype on your shop floor

Some problems are ready to build today — we go straight to the Solution Sprint. Others need a data or process foundation first — we run the Readiness Sprint, then build. The diagnosis tells us which.

Where We're Starting

Where India's Problems
Are Hardest

Our method is sector-agnostic — finding the real constraint works the same way on any operation. These four are simply where we're starting: GDP growth, MSME density, and manufacturing ambition are highest, and the gap between operational problems and available technical talent is widest. If your sector isn't here, the model still applies.

⚙

Manufacturing

Industrial AutomationAI & VisionPilot-Ready

Automated visual inspection replacing manual line checker
Predictive maintenance on a specific machine from sensor logs
Defect classification from existing camera or image data
OEE dashboard with anomaly alert on a defined production line

▦

Distribution & Retail

High Data VolumeMargin-SensitivePilot-Ready

SKU-level demand forecasting across a distributor network
Shelf stock-out and planogram-compliance check from store imagery
Last-mile delivery route optimisation for a defined dispatch hub
Invoice and GRN reconciliation across multi-brand distributor ledgers

❋

Food Processing & Agri-Tech

Fragmented IndustrySME-DrivenHigh Variety

Foreign object or defect detection on a processing line
Shelf-life prediction model from existing sensor or lab data
Automated grading system for a specific produce type
Cold chain temperature exceedance alert and logging system

⬢

Textiles & Apparel

MSME-DenseExport-LedPilot-Ready

Fabric defect detection on looms or inspection tables via computer vision
SKU-level demand forecasting for apparel manufacturers serving retailers
Automated shade-matching and colour-variation check from camera imagery
Line-balancing and productivity analytics from existing shop-floor CCTV

Why Businesses Choose ForgePoint

The Problem With Every
Solution You've Tried Before.

Consultants deliver reports. Vendors deliver demos. Hackathons deliver enthusiasm. None of them deliver a working solution on your shop floor. ForgePoint does.

Holistic Problem Solving

Innovation or Invention — we handle everything.

Most providers own a slice: diagnosis, or build, or deployment. We own the whole arc — implementing a proven solution where one exists, inventing one where it doesn't. One engagement, one accountable partner, no handoffs.

Breakthrough Results

A multiplier on performance. Priced for MSMEs.

Breakthrough results come from relentless focus on the constraint — the leverage point — and making systematic improvements there. And we price for the businesses we serve — sized for an MSME budget, with fees tied to outcomes wherever we own the outcome, so the cost doesn't land before the benefit does.

Minimal Touch Time

Hours, not days, from you.

On an Invention sprint, your commitment is a scoping call, 6–8 hours of touchpoints, and showing up at Demo Day. On an Innovation engagement, it's 1–2 hours of owner or business-head time a week. Everything else is ours.

Our Mission & Team

Built by People Who've
Worked the Problem

ForgePoint identifies and removes the constraints limiting business performance by combining the Theory of Constraints, AI, and faculty-led student engineering teams. We implement proven solutions where they exist and invent new ones where they don't — helping businesses become more competitive while forging the next generation of engineers.

Kartikeyan K

Co-Founder · Market Development & Industry Partnerships

28+ years of market development and business leadership across multinational industrial companies. As Regional Director at Intralox India, built India and South East Asia operations from scratch — USD 70M+ in new business, two new technology platforms introduced to Indian market. Earlier as Marketing Head (Abrasives) at 3M India and Sandvik Coromant. Leads go-to-market strategy and industry partnerships at ForgePoint.

Intralox 3M India Sandvik Coromant

Srinivasan Vaidyanathan

Co-Founder · Sprint Operations & Delivery Architecture

26+ years across GCC institution building, Fortune 500 programme delivery, and strategic consulting. PgMP® · PMP® · Wharton ADP · BITS Pilani. Built a de facto GCC from 0→500 people and $100M revenue at NEC. Client footprint: National Grid, Arizona Public Service, 7-Eleven Japan (12,000 stores, $75M transformation), Voltas, Croma, PVR. Leads sprint operations and delivery architecture at ForgePoint.

Wipro NEC Goldratt Consulting

Prakash Doraiappa

Co-Founder · Operations, Compliance & Governance

28+ years across finance, operations, and enterprise systems. Manages global Supplier Data Management for Oracle's Shared Service Center across 83 countries, leading a team of 14. Deep expertise in Source-to-Settle processes and P2P operations across acquisition integrations for Sun Microsystems, OFSS, and Siebel. Leads financial and governance infrastructure at ForgePoint.

Oracle Sun Microsystems

The founding team has collectively managed hundreds of people, delivered programmes worth millions of dollars, built organisations from the ground up, and navigated the operational complexity of large enterprises across multiple countries. When ForgePoint tells an MSME partner that a sprint will be managed, documented, and delivered — that assurance is backed by people who have done it at scale.

Get Involved

Work With ForgePoint.

ForgePoint runs on four kinds of partners. Pick your seat — or see the full ecosystem map →

Industry Partner

Bring Us One Problem.

Have an operational or technical challenge your team hasn't been able to crack? Submit it as a ForgePoint sprint brief. One scoping call. Attend Demo Day. We manage everything in between.

One scoping session to shape your problem into a sprint-ready brief
Modest Innovation Sprint fee — one person approves, no procurement needed
Pre-commit to a pilot conversation at Demo Day
Max 2 hours of access during the sprint — ForgePoint manages the rest
Output: a working prototype and a pilot-ready team

Academia

Connect Your Students to Real Industry Problems.

If your institution has students with the technical capability and the drive to work on real, unsolved industry challenges — ForgePoint wants to hear from you. Register your interest and we will reach out when a sprint brief matches your students' profile.

Students work on real, scoped problems from actual companies — not simulated briefs
Every sprint closes at Demo Day — a live client conversation, not a grade
IP and NDA frameworks in place from day one — no ambiguity for students or institutions
ForgePoint manages all delivery coordination — minimal overhead for your institution
Sprint outcomes are verifiable, industry-validated evidence — worth more than any certificate

Sector Advisor

Lend Your Judgment. Shape What Gets Built.

We are empanelling sector leaders who can validate briefs and mentor sprint teams. 4–6 hours per cohort — defined, bounded, and respected.

Review 2–3 briefs per cohort before sprint launch
One check-in per sprint team during the build phase — domain guidance, not project management
Named on the ForgePoint advisory panel — visible to all industry partners
Early access to sprint results and pilot intelligence before public case studies
Input on which problem types and sectors ForgePoint prioritises

Startups

Compete for Your First Enterprise Client.

If you have the technical skills and the drive to work on real, unsolved industry problems — ForgePoint is the arena. Real brief. Real client at Demo Day.

Register your team — share your domain, composition, and technical strengths
IP and NDA framework signed upfront — sprint output jointly owned
Structured sprint with a Gate 1 pivot point and Demo Day with a live client
Industry partner pre-commits to a pilot conversation — a qualified lead, not a cold door
Sprint win = verifiable, client-validated output worth more than any hackathon certificate

India's Innovation
Pipeline Is Open.
Finally.