Anurita Das left NASA, fueled by machine learning passion, to launch Genovation Technological Solutions—a B2B AI powerhouse deploying custom agents without data leaks. With ₹1.25 crore initial funding ($150K HNI + ₹83 lakh Jay Tech’s prize), they charge ₹5-8 lakhs/agent annually. Anurita unpacked rapid prototyping, investor alignment, and taming AI’s hardware hunger.
NASA Roots to AI Disruption
At NASA, Das honed object detection amid AI’s rise. “Organizations need scalable AI without privacy risks,” she said. Post-GPT boom, Genovation Technological Solutions evolved: “Genovation” nods to rapid AI deployment and next-gen customization for industry pains. No off-the-shelf fluff—proprietary frameworks tackle deep, bespoke problems, outpacing B2C tools like Cohere or Palantir clones.
Rapid Wins: Prototyping and Trust
Philosophy? Show, don’t tell. “Rapid prototypes build trust,” Das stressed. Customer calls pinpoint issues; feedback refines. Transparent pricing (₹5-8 lakhs/year/agent) fits mid-sized firms, sidestepping B2C adoption pitfalls.
Early days: Bootstrapped on validation, then funded for prototyping firepower.
Funding Synergy and Scaling Hurdles
Investors align on vision: Geopolitical-safe, privacy-first infrastructure. “Explain the long arc,” Das advised. Action item: Prep larger round extension, targeting VCs.
B2B SaaS launch next: Update outreach for adoption. Top pains from calls? Solve via existing stack.
Future: Lean “Deep Agents” Revolution
AI’s dirty secret? Skyrocketing hardware costs for bloated models. Das’ bet: Task-specific small language models as “deep agents”—slice 1,000 pages to 10 insights, sans massive infra or headcount.
“Current systems guzzle resources; ours deliver deep work efficiently,” she said. Global biz impact: Cheaper, scalable AI for data floods.
Interview Conducted by : Sejal Thakur
