Adya
It sounds like a fair question. In fact, in India's SaaS-first mindset, it almost feels like the only reasonable question. But the truth is - for Adya, this was never an either-or decision. It had to be both.
Section 01Environment Shapes Strategy
In an earlier blog in this series, we spoke about how different ecosystems shape what kind of AI companies emerge. Each region builds what it understands best.
India - Vertical AI
India gravitates toward vertical AI, echoing the SaaS success stories from 2010-2025.
China - Industrial AI
China leans toward industrial AI - deeply embedded in manufacturing and infrastructure.
US - Models & Scientific Capability
The US bets heavily on models and scientific capability - foundational innovation before applications.
Adya, too, is a reflection of its environment - and of a decade of building inside the platform layer of commerce.
Section 02The Bias: Platforms Before Products
Whether by luck or by compulsion, the founding team started its career building platforms. Retail platforms. Aggregation platforms. Supply chain, logistics, warehouse management platforms. Cross-border e-commerce systems integrated with 30+ marketplaces and 30+ logistics providers.
Later, on the pivot toward ONDC, a deeper question surfaced: Protocol vs Platform. Most people frame the debate as product vs platform. But in reality, there are three layers.
The internet is a protocol. UPI is a protocol. ONDC tried to be a protocol for commerce. Products sit on platforms. Platforms sit on protocols.
In my earlier company, we tried to become a platform of platforms - one layer that connected many marketplaces. But every platform was different. Every integration was bespoke. Without global heft, you can't force everyone to adopt your protocol.
For a startup, building a protocol is almost impossible. But building a powerful platform is not.
That realization stayed with us when we started Adya.
Section 03Why Not Just Build a Vertical Product?
We debated this deeply. And we chose not to. For three fundamental reasons.
Vertical AI Is a Red Ocean Now
Earlier, building good software was hard. Today, with AI-assisted coding, a founder with a design partner can ship a powerful vertical solution in weeks. Thousands of teams can build the same invoice system. Narrowing to India shrinks TAM; narrowing to one industry shrinks it further. In a world where software is becoming composable and fast, vertical moats erode quickly.
Enterprises Don't Trust Black-Box SaaS for Core Ops
Over the last decade, we've worked with ~35 enterprise platforms. Enterprises hate depending on systems they don't control. With AI, data leaves the tenant, flows into third-party LLMs, gets stored and inferred - governance becomes a nightmare. For finance, operations, R&D, compliance teams insist: host in our cloud, use our models, follow our governance, integrate with our stack. The only scalable answer is products created on a platform that can be fungibly remodeled for every enterprise.
Build vs Buy Is a False Binary
Traditional thinking says: either buy SaaS, or build in-house. In an agentic AI world there is a third path - build on a platform that already solves 80-90% of the problem. If the platform gives you orchestration, data integration, governance, model control, UI generation, deployment... then all you really need is a design partner with domain depth and data, and a way to package and reuse what you build. That's the gap Adya fills.
Section 04Products, Platforms, Protocols - The Adya Stack
At Adya, we see the world in three levels:
- Products - ready, usable solutions.
- Platform - where these solutions are built and orchestrated.
- Protocols - interesting, but not viable for a startup to impose.
So we doubled down on the platform. But we didn't stop building products.
Section 05The ESA: A Fungible Core, Not a Fixed SaaS
At the heart of Adya sits what we call the Enterprise Strategy Agent (ESA). It's not just a product. It's a core orchestration of agents that represents one of the most powerful ways to run back-end enterprise intelligence.
- Enterprise Search Agent - mines internal data: emails, docs, transactions, knowledge bases.
- Deep Research Agent - crawls the web, reads PDFs, papers, reports, does multi-hop reasoning.
- Data Analyst Agent - builds dashboards, insights, BI outputs.
- Visual Strategy Builder - creates strategy workflows and simulations.
- Customer Support Agent - interfaces with users.
- Flow Builder - extends logic on demand.
Together, they form a reusable intelligence backbone. And here's the key: ESA is fungible. The same orchestration can be reconfigured for any domain by changing integrations, data, models, governance, channels, and hosting.
So the same ESA can become equity research for finance, drug discovery for pharma, energy transition research, market intelligence, sales strategy, or policy analysis - not by rewriting code, but by recomposing on the Adya platform.
One solution (ESA) can be configured to multiple domains, each domain-specific solution can be offered to multiple enterprises, and each enterprise can customize and host it as their own. That's how we scale without becoming a services company.
Three levels of control make this work. Super Admin (Adya) creates core orchestration. Admin (Enterprise) swaps data, integrations, models, governance, channels, cloud as needed. End User uses the final solution.
Under ESA sits the Adya platform - the layer that gives the system its fungibility.
Model Studio - Agent Studio - App Studio
Fine-tune or plug any LLM. Build agents. Conversationally generate UI, PRD, architecture, code, tests.
Multi-Agent Network - Adaptive Governance - AI ETL
Orchestrate agents. Convert SOPs and SLAs into deterministic controls. Map and structure data automatically.
Voice - Chat - Email - Social
Reach end users on whatever channel the enterprise operates in - no separate integration project required.
Cloud-agnostic deployment
Host anywhere - enterprise cloud, hyperscaler, sovereign region, on-prem. The same platform, your governance.
Section 06So What Is Adya Really?
When enterprises come to us, we tell them:
- Many small use cases? Build directly on the platform.
- A big core problem? Start with ESA and adapt it.
- Already on Copilot, Vertex, Bedrock? Keep them. Orchestrate from Adya.
- Many tools across ERP, CRM, accounting? Integrate and run them as one system.
So no - Adya is not just build. And no - it's not just buy.
Adya is an enterprise operating system powered by agentic AI.
Section 07Looking Toward 2030
By the end of this decade, enterprises won't run on one SaaS. They'll have:
- Vertical AI tools on the fringe.
- Hyperscaler primitives as infra on which their systems run.
- And a platform as a fabric to orchestrate everything - third-party tools, vertical solutions, in-house builds, hyperscaler primitives, and other platforms - into one coherent system.
That's what Adya is built to be. Not a single product. Not just a platform. But the system that runs the enterprise itself.
See the platform and the products in one place
Whether your team needs many small use cases on a platform, or a fungible core like ESA adapted to your domain - Adya is built to flex around your stack, your governance, and your cloud.
Talk to the Adya team