Analytics Software Company Equity Stake For Sale in Kolkata, India
| Established | 1-5 year(s) |
| Employees | 10 - 50 |
| Legal Entity | Private Limited Company |
| Reported Sales | USD 10 - 20 thousand |
| Run Rate Sales | USD 25 thousand |
| EBITDA Margin | 20 - 30 % |
| Industries | Analytics Software |
| Locations | Kolkata |
| Local Time | 9:28 AM Asia / Kolkata |
| Listed By | Business Owner / Director |
| Status | Active |
Products: Our core offerings are Data Auditor, a real-time, RAM-only schema drift and anomaly detection tool for transactional data pipelines, and Marketing Intelligence Platform, a privacy-preserving attribution system built for the post-cookie marketing landscape. A third product, a conversational AI enterprise search assistant, is also live.
Demonstrated impact: Case studies published by the company report an 82% reduction in compliance audit preparation time, zero pipeline incidents over a six-month period, and $420,000 in annual engineering cost savings for a Data Auditor deployment. A separate case study on the Marketing Intelligence Platform reports attribution accuracy improving from 63% to 91% and a 14% reduction in wasted ad spend.
Compliance and positioning: The company designs its infrastructure around zero-trust and privacy-first principles, citing GDPR, HIPAA, and CCPA alignment, and emphasizes zero-disk-retention architecture as a core differentiator for regulated industries.
Recognition: The company is registered with India's DPIIT (Department for Promotion of Industry and Internal Trade) as a recognized startup and has been listed among Indian cybersecurity/data startups in an industry chamber publication.
What it does: Real-time, RAM-only payload anomaly detection and schema drift validation that audits transactional stream integrity before data warehouse ingestion, with zero disk retention. It plugs directly into Snowflake, AWS, GCP, or Postgres.
Who uses it: Fintech and healthtech data/engineering teams — anyone with a transactional pipeline where silent schema drift or corrupted data is expensive or dangerous.
How it's positioned to sell: Through a documented case study showing 82% reduction in compliance audit prep time, zero weekend pipeline incidents over six months, and $420,000 in annual engineering cost savings for one client. Its core hook is privacy: ephemeral in-memory inspection with zero disk retention risk, which matters a lot to healthtech buyers under HIPAA-style constraints.
Marketing Intelligence Platform — the second product.
What it does: Privacy-preserving attribution telemetry — essentially post-cookie marketing attribution done through first-party server-side data instead of third-party cookies.
Who uses it: Marketing/growth teams at the same fintech/healthtech companies, specifically ones losing accuracy in CAC/ROAS tracking since cookie deprecation.
How it's positioned to sell: Another case study: a client had a 35% discrepancy in CAC and ROAS metrics across 8 ad channels due to cookie deprecation; after deploying it, attribution accuracy rose from 63% to 91%, eliminating 14% of wasted ad spend, with 100% first-party server telemetry compliance.
Conversational AI / enterprise search — the third, least-featured product.
What it does: Perplexity-style AI search for deep enterprise knowledge synthesis, plus a privacy-first conversational interface for querying enterprise data securely, live at chat.
Intangible assets-: The website.
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Managing Director, Specialty Chemicals, Mumbai, Corporate Investor / Buyer connected with the Business