Generative AI in production
Not pilots — AI features shipped inside five platforms, with prompt versioning, PII anonymisation, quotas, caching and cost auditing already solved.
A product company that consults — not a consultancy that occasionally ships.
Data Equity Private Limited is a technology-driven organisation specialising in artificial intelligence, product development, consulting and digital transformation. We work with enterprises to design, build and scale intelligent systems that improve decision-making, automate processes and unlock business value through data.
2017Incorporated 30 March 2017
GurugramHeadquartered in Haryana, India
5In-house platforms, four in production
30+ yrsArchitecture experience leading engagements
Vision
Intelligent, scalable, future-ready
To empower organisations with intelligent, scalable and future-ready AI solutions that drive efficiency, innovation and competitive advantage.
Mission- Deliver high-impact AI and data-driven solutions
- Enable digital transformation through innovation
- Build scalable products aligned with business goals
- Provide expert consulting to accelerate AI adoption
Key strengths
Business and technology, together
Deep understanding of the integration between the two, which is where most AI programmes actually fail.
Flexible delivery
We work as embedded consultants or as an independent delivery partner, agile and scalable to the engagement.
Enterprise-grade by default
Secure, compliant, auditable solutions — because our own products have to survive the same scrutiny.
How we think
The habits behind everything we ship
These are not slogans. They show up in every product brief we write and every engagement we take.
Ship the wedge first
Win one process, one product line, proven end to end — before anything gets called a platform. Yantra's v1 is deliberately one origination process, not a general workflow engine, because building a platform on spec is how these projects die.
State what it is not
Every product document we write contains an honest-scope section. ValuNova is not a BPM engine or a policy administration system. Yantra is not an autonomous decision-maker. Saying so early is cheaper than discovering it in month nine.
Configuration over release
A rate change, a rule revision or a new product variant should be a governed configuration change with its own test-and-approve workflow — hours, not a developer sprint. IT owns the platform; the business owns the rules.
Reproducible by design
Frozen snapshots, immutable ledgers, version history and impact analysis, so any output can be reproduced and explained years later — to a regulator, an ombudsman or a customer-disputes team.
AI is a co-pilot, never an autopilot
Models draft; deterministic checks validate; a named human approves; a deterministic runtime executes. Where a model must act, it carries an explicit autonomy ceiling and abstains below a confidence threshold rather than guessing.
Mainstream stacks, no lock-in
.NET, SQL Server, Temporal, Hangfire, Serilog. Nothing exotic, nothing that needs a specialist to maintain after we leave, and AI providers that can be swapped or switched off entirely.
Leadership
Arun Yadav
AI Consultant & Technology Lead
- Extensive experience in AI solution architecture and implementation
- Hands-on expertise in generative AI, automation and enterprise systems
- Proven track record of delivering business-aligned AI solutions
- Leads architecture and technical direction across all five Data Equity platforms
Partners
Reseller & implementation network
Our platforms reach some markets through partners who resell, implement and support them alongside their own services.
Expnovateur
Reseller and implementation partner — taking Data Equity platforms to market, delivering configuration and onboarding, and providing first-line support to their own client base.
Interested in reselling or implementing our platforms? Talk to us about partnership.
Commitment to clients
What you can hold us to
Quality & scale
High-quality, scalable solutions built to production standards, not demo standards.
Confidentiality
Strict confidentiality and data security, appropriate to regulated environments.
Timely delivery
Measurable outcomes and transparent tracking throughout the engagement.
Long-term partnership
Built for the relationship after go-live, not just the delivery milestone.
Corporate information
Registered details
- Legal name
- Data Equity Private Limited
- Incorporated
- 30 March 2017
- CIN
- U74999HR2017PTC068378
- GSTIN
- 06AAGCD1065K1ZP
- Registered office
- E-306, Bestech Park View Ananda, Sector-81, Gurugram, Haryana – 122004, India
- Website
- dataequity.in
Documents
Company profile
Our full company profile covers the service catalogue, engagement models, delivery approach and corporate credentials — including GST, PAN and TAN details for vendor onboarding.
We share it on request, along with a capability deck tailored to your sector, a technical and security briefing, or client references.
Let's talk about what you are building
Whether that is a platform decision, an AI programme, or a process you cannot currently defend.