Pre-Seed · $1.5M · 2026
End-to-end AI and engineering
for India's defence.

Strangeloop builds AI, software and engineering systems that operate offline, survive adversarial conditions, and integrate with what India's forces already have deployed.

02 — The Problem

India has the ambition and the budget.
The gap is in delivery.

The Technology Gap

India now produces 65% of its defence equipment domestically — up from 30% in 2014. But the high-end technology layer persists as an import: AI systems, advanced sensors, AESA radars, semiconductors. Domestic production has grown. Sovereign capability has not.

Time to Deployment

The journey from working prototype to fielded, field-hardened, operator-accepted system takes far longer than it should. The technology moves fast. The deployment pipeline does not.

Scope of Innovation

Edge inference, multi-sensor fusion, autonomous decision-support. The organisations building AI-native systems for defence — fast, end-to-end — are only beginning to emerge in India.

An AI-native engineering company that closes the gap between what is possible and what is deployed — sovereign, fast, and built for the field.
03 — Market Opportunity

₹6.81 lakh crore budget. World's 2nd largest arms importer.
The customer base spans every wing of India's defence forces.

₹6.81L Cr
Defence budget FY 2025–26 · all-time high · +9.5% YoY
₹7.85L Cr
FY 2026–27 allocation · +15% · sustained political commitment
₹1.80L Cr
Capital outlay for domestic procurement FY 2025–26

₹38,424 Cr
Defence exports FY 2025–26 · record · +62.7% YoY · 80+ countries
₹1.51L Cr
Domestic production FY 2024–25 · all-time high · up 90% since 2019–20
$19B
India defence technology market by 2030 · up from $7.6B today · 20% CAGR · AI + software + engineering
03 — Why Now

Four shifts that just opened the window.

Military leadership & political will

Active acceleration of domestic tech adoption. Political will at its highest point in a generation.

Private sector invitation

Private companies are being invited to develop and co-develop systems with government and PSUs. The door is open.

FDI at 74% automatic

International capital can enter Indian defence without prior government approval. The window to build before the market is crowded is open now.

04 — Solution

One team. Three disciplines. No handoffs.
Systems that work when it matters.

"Strangeloop owns the full journey — from problem statement to operational deployment, built end to end."

Artificial Intelligence

Custom models. Edge inference — full capability with no connectivity. Computer vision, anomaly detection, multi-sensor fusion. Offline-first by design, not retrofitted.

Software Engineering

Production-grade systems for high-stress field use. Real-time pipelines, secure architecture, audit logging, graceful degradation under connectivity loss.

Engineering

Mechanical, electrical, embedded systems, hardware-software co-design, air-gapped deployment, integration with existing platforms and infrastructure.

Offline-first Adversarial conditions Security as architecture Operator-first
05 — Before Day One

Seven proposals. Three live prototypes.

Challenge Organisation System Status Proposal
DISC 14 — PS01 Indian Army Autonomous Engagement Module — UAS TDRI Submitted View
DRISHTI #39 BEL (MoD) Digital Identity & Cyber Surveillance Platform Submitted View
DRISHTI #3 HAL (IAF) AI & AR Engine Inspection — TPE331-12B Submitted View
ADITI 4.0 — PS05 Indian Army Cognitive Electronic Warfare System Submitted View
ADITI 4.0 — PS18 Indian Air Force AI-Powered OSINT Analysis & Monitoring Submitted View
DRISHTI #5 HAL (IAF) Digital Twin — Gas Turbine Starter Engine Submitted View
DISC 14 — PS75 Indian Air Force AI-Based Airway Assessment Tool Submitted View
05 — Live Prototypes

Three working systems. No login required.
Built before the raise.

Autonomous Engagement Module

uas.strangeloop.engineering

Minimal Viable Prototype  Indian Army · UAS targeting

Priority queue, geolocated contacts, Human-on-the-Loop approve/reject/hold workflow, cryptographic audit trail. Edge-deployable, no cloud dependency.

Digital Identity & Cyber Surveillance Platform

digicy.strangeloop.engineering

Minimal Viable Prototype  BEL · Cyber surveillance

Six modules: document verification, face liveness, behavioural analytics, real-time threat feed, MITRE ATT&CK attribution, quarantine management.

AI & AR Engine Inspection System

engine-inspection.strangeloop.engineering

Minimal Viable Prototype  HAL · TPE331-12B inspection

All 9 zones. AI defect analysis, AR annotation, digital engineering checklist, inspection report. Runs on standard maintenance hardware.

Strangeloop is actively applying to further challenges and building relationships. The pipeline grows with every submission.
06 — Business Model

Milestone-gated contracts. Recurring licences.
Compounding credibility with every delivery.

StreamWhenSize
iDEX / ADITI grants Year 1 ₹1.5–25 Cr · non-dilutive
Government services contract Year 2–3 ₹50–200 Cr · milestone-gated delivery
Per-deployment software licence Year 2+ Recurring · per operational unit deployed
Integration and maintenance services Year 2+ 10–15% of system value · annual recurring
Export contract Year 3+ 5–10× multiplier on India-deployed system
DISC grant (₹1.5 Cr) → prototype → NCNC → services contract (₹50–200 Cr) → licence (₹50–100L/yr/unit) → export (₹250–500 Cr)

Each contract is a ratchet, not a one-off. The iDEX win is the entry point — every subsequent contract is a multiplier.

07 — Go-to-Market

Government first. Scale with contracts.

Phase 1 · Year 1

Win the iDEX challenge

DISC and ADITI challenges. Working prototype under MoD contract. ₹1.5–25 Cr non-dilutive. Government contract validates team, technology, and procurement credibility simultaneously.

Phase 2 · Year 2–3

NCNC demonstration and first services contract

No-Cost No-Commitment demonstration with one service branch. Convert to services contract (₹50–200 Cr). Maintenance contract begins recurring revenue.

Phase 3 · Year 2–4

Scale across services

Army → Navy → Air Force. Each deployment is a reference for adjacent problem statements. Compounding credibility across services.

Phase 4 · Year 3–5

Export

Allied nations (Armenia, Philippines, Vietnam, UAE) already buying Indian hardware. AI and software is the next layer. A system deployed in India is deployable for any country facing the same threat environment.

Phase 5 · Year 2–10

Full-stack engineering

Year 2–4: First hardware work alongside software contracts. Year 3–7: Integration and co-development with DRDO and PSUs. Year 4–10: Full-stack platform development — prime contractor.

08 — Competition

There is no Indian Palantir. There is no Indian Shield AI.
Strangeloop is building both.

Legacy IT Foreign Vendors Strangeloop
Offline-first AI
Field-deployable
Sovereign / India-only
AI-native engineering
Agile delivery
iDEX-eligible
End-to-end (no handoffs)

Indian deep-tech (Tonbo, BBBS, Raphe mPhibr) — proof of arc, not competition. Different domains. Their raises validate the iDEX → deployment → capital sequence works from India.

No agile, AI-native, software-first company is focused exclusively on building field-deployable systems for Indian defence. That is the gap Strangeloop fills — and the position Strangeloop intends to own.
09 — Who

Achal Shah

Education
  • B.Tech Mechatronics Engineering — SRM Institute of Science and Technology
  • M.Sc. Management of Technology — New York University
Experience
  • Data Scientist — KPMG
    Deployed agentic AI and GNN-based recommender systems for Vanguard and Capital Group.
  • Data Science Associate — OGx Consulting
    Software requirements analysis and SQL migration discovery for Colorado State Government.

Seeking

Domain advisor — ex-services or DRDO background

3–4 senior engineers

1 domain specialist

Choosing to move back home — because defence is where impact at scale lives. Deep technology applied to the defence of a country of 1.4 billion people, at a moment when India is rewriting what domestic sovereign capability means — and this is what I want to chase.
10 — Roadmap

From prototype to operational deployment in 18 months.
Contracts, not promises.

TimelineMilestoneWhat It Proves
Month 1–3 iDEX DISC evaluations underway; NCNC outreach; DefConnect participation Government engagement established
Month 4–6 Field-quality prototype demonstrated; iDEX milestone submission completed Strangeloop can build and deliver, not just propose
Month 6–9 NCNC demonstration with one service branch Demand signal — a service branch wants to evaluate operationally
Month 9–12 Services contract discussions initiated; pilot deployment scoped Path to revenue visible
Month 12–18 First operational deployment complete; second contract in pipeline Reference system delivered
Month 18–36 1–3 contracts fulfilled; ADITI or iDEX Prime application; Series A raise Scale-ready — team, deployments, recurring revenue
11 — The Ask

Raising $1.5M — the team and runway to win India's first AI defence contracts.

$1.5M
≈ ₹12–13 crore · pre-seed
Below $1M: can't hire to deliver at field quality
Above $2M: hard to justify without a contract in hand
$1.5M: funds the team through first operational delivery
CategoryAllocation
Team — 4 senior engineers + domain specialist55% · ₹7 Cr
Prototype development and equipment20% · ₹2.5 Cr
Demonstrations, testing, iDEX compliance12% · ₹1.5 Cr
Operations, travel, legal, IP8% · ₹1 Cr
Buffer5% · ₹0.65 Cr
2–3 years. A team of 6–8. 1–3 MoD contracts won and fulfilled. Delivered systems under MoD signature.

"The companies that achieve operational deployment first will set the standard for every contract that follows. The window is open and Strangeloop is already taking the first step."