AI strategist that turns pricing chaos into winning regulatory campaigns
Indian ride-hailing competitors and driver groups cannot secure regulatory protection against Rapido's alleged predatory pricing and dominance, as CCI routinely dismisses complaints leaving them with mounting revenue losses.
ReguLens uses AI to analyze uploaded pricing datasets, predict CCI decision likelihood, recommend optimal legal strategies, and draft multi-pronged advocacy plans including media, political, and legal angles specifically calibrated for Indian competition law.
Indian ride-hailing competitors, taxi unions, and auto-driver associations facing Rapido
First AI co-pilot trained on Indian antitrust precedents and ride-hailing economics
professional
Ingests CSV/Excel pricing data and identifies violations with confidence scores
LLM + classical model that estimates success probability based on historical cases
Creates customized 90-day advocacy plans combining legal, media, and political levers
Generates complaints, press notes, and representation letters
Vector database of all relevant CCI, NCLAT, and Supreme Court decisions
Automated email summarizing Rapido pricing behavior and regulatory signals
Share strategy documents with lawyers and other unions
Monitors X, YouTube, and news for driver sentiment
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_name | text | No |
| text | No | |
| tier | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| client_id | uuid | No |
| win_probability | int | Yes |
| created_at | timestamp | No |
| strategy_summary | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| case_name | text | No |
| court | text | No |
| outcome | text | No |
| embedding | text | Yes |
/api/analyzeUpload dataset and receive AI analysis
/api/strategy/generateGenerate full advocacy strategy from analysis
/api/precedents/searchSemantic search over case law
Limited history
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 110 | 15% | $577 | $6,924 |
| Month 6 | 680 | 24% | $5,712 | $68,544 |
Stop guessing. Start winning regulatory battles with data-backed strategies trained on decades of CCI cases.
Approach legal counsels of major competitors (Ola, BluSmart) and two prominent unions through warm intros from competition lawyers on LinkedIn. Offer free Strategist access for 60 days and co-author a whitepaper on AI in Indian antitrust.
Strong US legal AI
No India-specific training or ride-hailing context
Domain-specific fine-tuning on Indian cases
Continuous fine-tuning on new CCI decisions and proprietary ride-hailing datasets creates compounding accuracy advantage
Explosion of affordable LLM capability coincides with urgent need for better tools after repeated CCI dismissals of poorly prepared complaints
AI hallucination in legal documents
Heavy human review prompts, disclaimers, and citation verification layer
High token costs at scale
Hybrid classical ML + LLM approach and caching
Success: All 3 rate output quality 8/10 or higher
Success: At least 4 organizations renew after free period
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