The Emerging Agentic Era

Over the past decade, the software world has undergone rapid evolution, but the shift we are witnessing today is unlike anything we’ve seen before. The traditional software we rely on today still expects us to learn its menus, buttons, and workflows - but thanks to recent breakthroughs in large-language models, applications can finally understand what we want and then act on our behalf. Users no longer want to simply navigate complex interfaces or input commands manually - they expect applications to understand their intent, adapt to their needs, and take action on their behalf. We believe that in the next few years, the boundary between a tool and an agent will simply vanish so that software works for people - not the other way around.

A decade ago, great products were those that neatly organized data and put it in front of users. Today, the bar is higher: the same product must interpret natural-language intent, stitch together the right APIs, and complete a task end-to-end - often across multiple channels. We believe that four forces have converged to make this leap possible:

1. LLM comprehension: Models can now parse messy human language with near-human accuracy.
2. Tool orchestration: Open-source frameworks (and smarter retrieval) let AI call the exact function it needs, in real time.
3. Cheaper, faster inference: GPU advances and distillation techniques have cut the cost curve by an order of magnitude.
4. Continuous feedback loops: Click-stream and telemetry pipelines feed agents the signals they need to improve every hour, not every quarter.

Put together, these shifts transform static dashboards into systems of action that deliver finished outcomes - booking the meeting, filing the ticket, closing the invoice - while the user focuses on higher-value work. We believe that it is a tidal market wave and every business application will need an agent layer, hence a multi-billion-dollar infrastructure opportunity is emerging.

The Hidden Complexity - And The Gap Adopt.ai Closes

Building a production-grade agent is deceptively complex. An enterprise rollout needs to understand both documented and undocumented APIs, scrape front-end elements when an API is missing, guard sensitive data, recover gracefully from edge cases, and learn from user behavior in the wild. Most product teams spend six to nine months of scarce AI talent just to ship an internal pilot - too slow for a market that now evolves weekly.

Adopt.ai collapses that cycle to less than twenty-four hours. The platform auto-discovers every surface in an application (backend APIs, UI elements, even hidden forms), generates a library of safe actions, and exposes them through natural language. Out of the box, enterprises get:

• In-app copilots that guide users step-by-step or complete tasks autonomously
• Omnichannel agents that live in Slack, Teams, e-mail, or voice interfaces
• Real-time recommendations based on the golden paths of power users
• Enterprise guard-rails -RBAC, auditing, analytics - built into every flow

In short, Adopt.ai handles the agent plumbing so product teams can focus on the domain logic that makes them unique.

What made us truly believe in Adopt.ai’s potential was not just the technology but the founders themselves. Deepak, Anirudh, and Rahul bring a rare blend of technical expertise, entrepreneurial drive, and deep conviction about the future of AI in enterprise software. Their journey began with a shared realization: the way humans interact with applications is fundamentally changing, and the tools that businesses rely on today will soon become obsolete if they don’t adapt. Deepak and Rahul built Slintel before and scaled it to multi million dollar ARR business before successfully getting acquired by 6Sense. We were very impressed by the learnings from their past entrepreneurial stint and scaling the product inside a global billion dollar company, giving them a unique perspective on how to build and scale a global product. Anirudh brings a unique perspective both as an ex founder as well as a researcher leading Microsoft’s AI initiatives. The depth of technical brilliance and their relentless focus on solving real business problems set them apart. We are excited to partner with Deepak, Anirudh, Rahul, and the entire Adopt.ai team as they build the future of intelligent, agentic software and lead their Seed round.

Looking ahead, Adopt.ai aims to deepen its multimodal stack, expand its connector marketplace, and weave agents into a mesh that can coordinate tasks across disparate systems. As they scale go-to-market, we are very excited to see them help every application graduate from a passive tool to an active teammate!