Eternal, CARS24, Paytm and Razorpay push internal AI tools toward commercial use
Indian consumer platforms Eternal/Zomato, CARS24, Paytm and Razorpay are commercialising internal AI capabilities. The roundup also covers LEAP India’s IPO, Apple Pay’s planned India launch, OYO-Zostel litigation, Info Edge results and FlatX’s expansion plans.
Read the source at Inc42Newer report on Eternal · Read the newer report
The numbers
| Nugget valuation of | ₹350 Cr |
|---|---|
| CARS24 plans to hire | 50 forward-deployed engineers |
| LEAP received bids for 5.62 Cr shares versus | 11.49 Cr offered |
| LEAP fresh issue up to ₹480 Cr and OFS | up to ₹2,000 Cr |
| LEAP price band of ₹151-₹159 and valuation of | ₹7,004.5 Cr |
| Apple Pay seeks 15-20 bps interchange fee versus banks proposing | about 10 bps |
| Info Edge Q1 FY27 net profit rose 43% YoY to | ₹490.1 Cr |
| Info Edge operating revenue rose 11% YoY to | ₹880.7 Cr |
| FlatX targets a $32 Bn rental-housing market opportunity by | 2031 |
- Nugget revenue of ₹7.2 Cr in FY26
- LEAP India IPO subscribed 49% on day two
Why it matters to operators and investors
The shift creates partnership and acquisition opportunities around vertical AI deployment talent, proprietary operational data, and enterprise-ready workflow products.
What to watch next
- Quarterly disclosure of external AI revenue, paying enterprise customers, annual contract values and renewal rates, especially whether revenue grows materially beyond pilot projects.
- Hiring pace for enterprise account executives, solution architects and forward-deployed engineers versus internal AI research roles.
- Evidence that Nugget and comparable products win customers outside their parent-company ecosystem or sign multi-year enterprise contracts.
- Gross-margin commentary: rising inference, cloud and implementation costs would indicate services-heavy economics rather than scalable software economics.
- Pricing model adoption, particularly contracts tied to support resolution, conversion uplift, fraud loss reduction or collections recovery.
Show 2 more
- Large Indian IT-services firms, cloud providers, CRM vendors or BPOs launching competing vertical AI offerings or partnering with these platforms.
- Enterprise concerns around customer-data residency, model hallucinations, regulatory compliance and liability for automated decisions.
Likely next moves
The desk's read of what comes next — analysis, not reported by the source.
- Build dedicated enterprise sales, solutions-engineering and customer-success teams, with forward-deployed engineers becoming a key hiring category.
- Package narrow, proven internal use cases such as support agents, lead qualification, fraud detection, collections, voice workflows and operations copilots before attempting broad AI-platform sales.
- Use existing merchant, dealer, seller and payments ecosystems as lower-cost distribution channels for early enterprise customers.
- Create separate AI subsidiaries, product brands or fundraising vehicles to establish valuation benchmarks distinct from slower-growing consumer core businesses.
- Shift commercial terms toward implementation fees plus usage- or outcome-based pricing to offset model-inference and customization costs.
Show 1 more
- Increase investment in data governance, audit trails, multilingual capabilities and private-cloud deployment to meet Indian enterprise procurement requirements.
The counter-case
The evidence may overstate monetisation: ₹7.2 crore of revenue is immaterial relative to Eternal’s core business and a ₹350 crore valuation implies a very demanding revenue multiple for an early-stage internal tool. CARS24’s planned forward-deployed-engineer hiring signals cost and implementation intensity, not proven scalable software economics. These offerings may remain bespoke services sold through existing relationships, with long sales cycles, high support burdens, weak differentiation versus foundation-model vendors and systems integrators, and limited willingness among enterprises to pay for tools built by consumer platforms.