We walk with you
the last mile.

The AI workforce inside a full contact-centre stack — sovereign by design, cloud by choice.

• AI workers and human agents on one stack — incumbents sell the AI separately, AI-native rivals have no contact centre underneath.
• Runs on-premise or air-gapped with its own speech and language models: zero API token cost, and built for BFSI and government buyers that cloud-only rivals can't serve.
• Customers fund the sovereign hardware, so equity buys selling, not building. Plan: 151 customers and a cash-positive year 3.

The India-native agentic AI operating system for BFSI customer operations.

• Head-to-head in an NBFC trial: beat both the human team and two rival voice-AI vendors, at ~80% lower cost per account.
• Its own voice LLM handles 12+ Indian languages and code-mixed speech on 60% less compute, which makes voice AI pay at Indian per-call economics.
• Goes after a $12.4B BFSI ops spend where 68% of firms want AI and 21% have deployed it. Plan: $12.5M revenue at 40% EBITDA by FY31.

Turning every blind screen into an intelligent, revenue-generating media engine.

• Computer vision reads audience and attention in real time, and generative AI serves the matched ad instantly — no images or personal data stored.
• Paying client live across 4 retail stores, a Philippines distributor active, and a pipeline with global sportswear, luxury and mall operators.
• Three revenue lines (SaaS, revenue share and licensing) plus an equity stake in a sister product. Target: $5M+ ARR by year 2.

The 'Trader Joe's of India' — curated, traceable, GI-tagged regional foods.

• Built to $1.84M ARR on just $447K raised, while peers raised $20M+ to reach a similar scale.
• 8 company-owned stores, D2C up 5.2x in six months, live on Zepto and Instamart, backed by its own 20K-units-a-day factory.
• Franchise rollout to 156 stores (franchise stores pay back in 14–18 months). Plan: $39M revenue by FY30.