Configuration over code
Every dropdown, label, status, and stage is tenant-configurable. Business users own their setup; engineers don't bottleneck change.
Apragya AI is an AI Operating System for businesses - one platform combining productivity tools, a no-code agent builder, and 15+ ready-to-deploy apps across CRM, HR, Finance, Contracts and more. We believe AI shouldn't be bolted onto enterprise software - it should be built into the foundation.
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Every business I've worked with in the last decade had the same problem. Software was the easy part - integration, automation, and intelligence were the hard parts. Teams ended up with twenty tools that didn't talk to each other, governance frameworks that nobody followed, and AI features that looked good in demos but never made it to production.
Apragya started with a simple bet: what if AI wasn't a feature you bolted onto enterprise software, but the foundation everything else ran on? What if every workflow was AI-native by default, every decision was auditable, and configuration replaced custom code as the way to fit any business?
We're a small team building this in the open, talking to teams across real estate, manufacturing, retail, professional services, and healthcare about the workflows AI should actually own. Every release ships because something in the product needed to be true - not because a roadmap said so. If that's the kind of company you want to work with, we'd love to talk.
Vasudevan Parthasarathy
Founder & CEO, Apragya AI
Vasudevan Parthasarathy
Founder & CEO
Building Apragya as the AI operating layer enterprises actually deploy. Previously shipped systems serving millions of users across BFSI, healthcare, and manufacturing.
Enterprise software has been ripped open by AI in the last 24 months, but most vendors are still trying to bolt LLM features onto legacy products. The result is fragmentation - one chatbot here, a copilot there, and dozens of tools that don't share data or learn from each other.
Apragya was built the other way around. AI is the operating system. Apps and workflows are orchestrated on top. Every action is AI-native by default, auditable end-to-end, and configurable without engineers. One credit pool, one audit trail, one source of truth.
How Apragya AI went from a problem statement on a whiteboard to a platform running production workloads across 30+ countries.
Aug 2025
First lines of code on Apragya AI. We start with the Business Suite - the AI productivity layer every employee can use day one. The plan: build phase by phase, with Solution Suite and Enterprise Apps coming in parallel.
Dec 2025
First working version of Apragya AI lands. The three-suite architecture comes together - agent builder, workflow canvas, and the first enterprise apps all reach a usable internal state.
Feb 2026
Enterprise apps cross from prototype to systems that run real workflows end to end - the platform proves itself as more than just a productivity layer.
Apr 14, 2026
Apragya AI's first public reveal of the platform. The AI-native ERP thesis steps out of internal demos and into the open.
Jun 8, 2026
The release-candidate launch lands national and international press coverage via ANI wire across 108 publishers - India, the GCC, the UK, and North America.
Jul 1, 2026
Our next big milestone. The roadmap below tracks what's shipping in Q3 and beyond.
Every dropdown, label, status, and stage is tenant-configurable. Business users own their setup; engineers don't bottleneck change.
Real LLM calls against real data. No demo magic, no scripted replies. If a feature doesn't include an AI agent, it's incomplete.
Designed for all industries via configuration, not code branches. From insurance to healthcare to manufacturing - one platform, many shapes.
Every agent action logged with inputs, outputs, model, cost, and reviewer. Soft deletes, audit trails, role-based access - boring on purpose.
Enterprise AI has crossed from experimentation to operations in the last 24 months. The opportunity isn't to ship another chatbot - it's to build the operating layer the next generation of businesses runs on.
$1.3T
The TAM Apragya AI sits inside - and the layer being rewritten by AI over the next 5 years.
Source: Industry sizing estimates87%
The shift from "should we?" to "how do we?" already happened. Operationalisation is the bottleneck.
Source: 2026 enterprise AI surveys3-5x
Independent benchmarks across teams that replace siloed SaaS with end-to-end agentic workflows - the upside Apragya AI is built to unlock.
Source: Industry benchmark studies50+
AI agents in production
12
Enterprise apps live
25
Live integrations
3
Integrated suites
Apragya AI is built by Fronseye Tech n Trade Private Limited - a software product company incorporated under the Ministry of Corporate Affairs and approved by Central Govt's DPIIT and State Govt's StartupTN as a “Startup Company”.
Our team spans engineers, designers, AI researchers, and operators across India - currently 13 full-time builders plus 5 shared specialists focused on Apragya AI. We're building in the open because the next operating layer for businesses can't be built in isolation.
From engineers to designers to operators - candid words from the people shipping Apragya.
The thing that hooked me was how fast we ship. A feature goes from whiteboard to production in under two weeks because there's no middle-management layer waiting to approve. Decisions get made by the people who own the work.
Senior Engineer
Platform & AI
Every design conversation here starts with "what is the customer trying to accomplish?" - not "what does the competitor do?" That shifts the whole way you work. You stop reverse-engineering and start inventing.
Product Designer
Enterprise Apps
We build in the open. Here's the rough shape of what's shipping this quarter, what's lined up next, and what's exploratory.
Now shipping
Q3 2026Up next
Q4 2026Exploring
2027+A few of the roles we're actively looking to fill. Don't see your role? Send us your story anyway - we hire generalists who care more about impact than titles.
Senior Software Engineer, Platform
EngineeringBangalore / RemoteFull-time→AI / ML Research Engineer
AIChennai / RemoteFull-time→Senior Product Designer
DesignRemoteFull-time→Enterprise Account Executive
SalesBangalore / MumbaiFull-time→Customer Success Manager, Enterprise
SuccessBangalore / RemoteFull-time→Vippy- Your Apragya guide
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