Y

Yellow.ai

Bangalore-born conversational AI & autonomous-agents platform — founded 2016 by Raghu Ravinutala (CEO), Jaya Kishore Reddy Gollareddy (CTO) and Rashid Khan (CPO), all NIT Warangal alumni; HQ moved to San Mateo, California with Bangalore engineering centre; $102.15M total raised including a $78.15M Series C in August 2021 led by WestBridge Capital; now pivoting from conversational AI to autonomous AI agents amid two 2025 layoff rounds (~30% workforce cut on 23 December 2025)

Conversational AI / Autonomous AI Agents / Enterprise CX 4.2 / 5 (1 Rating) Starter ~$100-300/mo / Pro 10K MTUs / Enterprise ₹15-200 L/yr custom Updated May 2026 🇮🇳 Bangalore-founded; INR billing eligible; Hindi/regional-language depth
⚠️ Watching: two 2025 layoff rounds totalling ~30% of headcount — agentic-AI pivot under ChatGPT pressure

Quick Verdict

Yellow.ai is one of India's most credible enterprise conversational-AI platforms and historically the strongest Indian-built alternative to global chatbot incumbents like Intercom Fin, Drift and Ada — with genuine depth in Indian-language conversation (Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, Gujarati). The company was founded in 2016 in Bangalore by three NIT Warangal alumni: Raghu Ravinutala (CEO), Jaya Kishore Reddy Gollareddy (CTO) and Rashid Khan (CPO). Today the legal HQ is in San Mateo, California, with a large Bangalore engineering centre and global offices across SEA, Europe and the US. Yellow.ai has raised $102.15 million across six rounds from 18 investors, with the headline being a $78.15 million Series C closed in August 2021 led by WestBridge Capital, with Sapphire Ventures, Salesforce Ventures and Lightspeed Venture Partners participating. The platform supports 15+ LLMs and 35+ deployment channels (web chat, WhatsApp Business API, Facebook Messenger, Instagram, voice, IVR, Slack, MS Teams, custom HTTP API) and is positioned in 2026 as an autonomous-AI-agent platform — a deliberate pivot from the pre-ChatGPT "conversational AI" framing. However, the company has had a difficult 2025: ~40 layoffs in August 2025 followed by 100+ layoffs on 23 December 2025 representing ~30% of the workforce, framed publicly as a "realignment" toward agentic AI but in practice a response to ChatGPT-driven commoditisation of chatbot building, which makes the page worth flagging as a vendor-stability watch item for Indian buyers signing multi-year contracts. For Indian enterprises in 2026 the right framing is: Yellow.ai is the strongest call when you specifically need deep Hindi / regional-Indian-language depth, an Indian-founder relationship for procurement, and India-region delivery; the wrong call for greenfield evaluations where vendor-stability matters more than language depth (consider Botpress, Haptik, or building on OpenAI / Anthropic directly) and the wrong call entirely for non-enterprise small businesses (overkill).

Hindi / regional Indian language depth
4.7
Indian enterprise relationship density
4.5
Multi-channel breadth (35+ channels)
4.6
Vendor stability (post-2025 layoffs)
2.7
Value vs build-on-OpenAI for SMB
2.4

What is Yellow.ai?

Yellow.ai is an enterprise conversational-AI platform built for customer experience (CX) and employee experience (EX) automation across chat and voice. The 2026 product surface combines a low-code agent builder, a multi-LLM orchestration layer (15+ LLMs including OpenAI GPT, Anthropic Claude, Google Gemini, and indigenous Indic models), omnichannel deployment across 35+ channels, voice / IVR support, sentiment analytics, and an "Agent Assist" co-pilot for live human agents working alongside the bots. The 2024-2026 strategic repositioning frames Yellow.ai as an autonomous AI agent platform rather than a "chatbot builder", aligning with the broader market shift.

The company was founded in 2016 in Bangalore, India by three NIT Warangal alumni: Raghu Ravinutala (CEO), who studied Communications Engineering at NIT Warangal (1996–2000) and earlier worked in semiconductor and product roles; Jaya Kishore Reddy Gollareddy (CTO); and Rashid Khan (Chief Product Officer). The founders' Indian-engineering pedigree is genuinely visible in the product — Yellow.ai is one of the very few enterprise AI platforms with first-class Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam and Gujarati conversational depth out of the box, which Botpress / Voiceflow / Intercom Fin do not match. As of 28 February 2026, the company reports ~875 employees globally, though that figure is materially affected by the late-2025 layoffs (see below). The corporate HQ is now San Mateo, California, with a large Bangalore engineering centre, plus offices across SEA, Europe and the US.

Yellow.ai has raised $102.15 million across six rounds from 18 investors. The headline round is the $78.15 million Series C closed in August 2021, led by WestBridge Capital with Sapphire Ventures, Salesforce Ventures and Lightspeed Venture Partners participating. At the time, the round positioned the company as one of the most-funded Indian-founded enterprise AI startups globally. The strategic logic that worked pre-2022 — a heavyweight enterprise CX platform with strong India-language support and a global Fortune-500 customer roster — has been materially complicated by the post-ChatGPT shift in enterprise expectations, which is what drives the 2025 corporate developments described below.

The customer base across the company's history includes Indian BFSI (HDFC Bank, ICICI Bank affiliates, large NBFCs), retail (Sephora, MG Motor, Lulu Group), telecom (Vodafone, Airtel partners), travel (Indigo, AirAsia), and global Fortune-500 enterprises across the US, EU and SEA. The Indian language depth, voice-bot capability and India-region delivery are the three things customers consistently cite as differentiators against US-built competitors.

The 2025 layoffs and agentic-AI pivot — vendor-stability watch

In August 2025 Yellow.ai laid off approximately 40-50 employees, framed at the time as a normal performance-and-restructuring cycle. On 23 December 2025 the company laid off another 100+ employees, representing approximately 30% of the global workforce. The public framing was a "realignment" toward agentic AI — moving from a conversational-AI implementation-and-support model to a smaller, more specialised team building autonomous-AI-agent infrastructure. The honest reading, supported by reporting in The Ken ("Yellow.ai had $100M, clients, and momentum. Then came ChatGPT, Big Tech"), is more nuanced: the post-ChatGPT shift commoditised much of what Yellow.ai's platform offered, big-tech competition (Microsoft Copilot Studio, Google Vertex AI Agent Builder, Salesforce Agentforce, OpenAI Assistants API) made the build-vs-buy calculation worse for chatbot platforms generally, and Yellow.ai's growth trajectory needed re-baselining.

For Indian buyers evaluating Yellow.ai in 2026 the practical implications are:

  • This is not a Karza-class shutdown signal — the company is funded, has an Indian-founder team that has been at this since 2016, and is actively shipping product. Existing contracts are not at imminent risk.
  • It is a vendor-stability watch item for multi-year procurement — Indian banks / BFSI / large enterprises signing 3-year+ contracts should specifically negotiate M&A continuity language and data-export clauses, and should monitor whether the post-restructure team can maintain the implementation-and-support depth that legacy customers depend on.
  • Greenfield evaluations should weigh the layoff signal alongside features and price — if your decision is purely on Hindi / regional depth and Indian-founder relationship, Yellow.ai remains the strongest call. If you are otherwise indifferent, the agentic-AI commoditisation argues for either building on OpenAI / Anthropic / Gemini directly, or picking Botpress (smaller but financially stable with $25M Series B June 2025) or Haptik (Reliance Jio-owned, with the Jio balance sheet behind it).

The single most important leading indicator to watch is whether Yellow.ai files a fresh funding round in 2026-2027 (and at what valuation), or pivots to an acquisition / M&A exit. Either resolution would meaningfully reset the procurement calculus.

What Yellow.ai does (the product surface)

🇮🇳 Deep Hindi & regional-language depth

First-class conversational depth in Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, Gujarati and Punjabi — including code-mixed Hinglish / Tanglish / Banglish conversation handling. The single biggest differentiator vs Botpress / Voiceflow / Intercom Fin for Indian enterprises.

🤖 15+ LLM orchestration

Pluggable LLM layer across OpenAI GPT, Anthropic Claude, Google Gemini, Mistral, and indigenous Indic LLMs. Per-agent / per-skill / per-channel routing, with fallback chains for reliability.

📞 Voice bots & IVR (genuine differentiator)

Production-grade voice bot capability — automated outbound calling, IVR replacement, multilingual voice (Hindi + regional Indian languages with native pronunciation). Strong fit for Indian BFSI / telecom / utilities replacing call-centre headcount.

📡 35+ deployment channels

Web chat, WhatsApp Business API, Facebook Messenger, Instagram DM, voice, Twilio, IVR, Slack, Microsoft Teams, custom HTTP API, in-app SDK, RCS, SMS, email. WhatsApp Business API specifically is mature and battle-tested.

👥 Agent Assist + Live Inbox

Human handoff with a co-pilot layer for live agents — suggested replies, sentiment scoring, conversation summarisation, knowledge-base lookup. Critical for Indian BFSI / NBFC where regulatory escalation requires human-in-the-loop.

🏢 Enterprise compliance (SSO / SOC 2 / GDPR)

SSO (SAML / OIDC), SCIM, RBAC, audit logs, SOC 2 Type II, GDPR, HIPAA. India-region deployment options for RBI / regulatory buyers. Enterprise procurement-checklist requirements covered.

Pricing & plans (2026)

Yellow.ai does not publish pricing publicly — contracts go through sales. Indicative 2026 ranges from third-party trackers (TrustRadius, Capterra, eesel AI) and Indian-buyer procurement disclosures:

  • Starter — up to 1,000 MTUs (Monthly Tracked Users), 2 channels, basic bot builder, pre-built templates, standard analytics, community support. Typical pricing ~$100–$300/month (~₹8,500–₹25,000/month all-in). Useful for Indian SMBs evaluating the platform.
  • Professional (most popular) — up to 10,000 MTUs, all 35+ channels, DynamicNLP engine, voice bot capability, advanced analytics, Salesforce integration, custom workflows, email support. Typical pricing $500–$2,000/month depending on usage and channel mix. The most-bought tier for Indian mid-market SaaS / fintech / e-commerce.
  • Enterprise — unlimited MTUs, on-premises deployment option, custom SLAs, dedicated success manager, advanced security and compliance, custom integrations, 24/7 premium support. Custom pricing — typical Indian enterprise contracts cluster at ₹15-50 lakh/year for mid-large deployments, scaling to ₹1-2 crore/year for the largest BFSI / telecom buyers with voice-bot + multi-channel + Indian-language requirements.
  • Setup / implementation — typically ₹3-15 lakh one-time for the bot-design, integration and training phase, depending on conversation complexity.
  • AWS Marketplace — as of July 2025 Yellow.ai is available on AWS Marketplace, which gives Indian buyers an alternative procurement route via existing AWS contracts (uses AWS spend commitments).

The previous version of this page listed "₹5–20L/year" as the pricing range — that is roughly correct for the lower mid-market band but missed both the Starter tier on the low end and the much higher upper-bound for enterprise BFSI / voice-bot deployments. INR billing is available through Yellow.ai's Indian entity for India-resident customers — meaningfully easier for Indian fintech / BFSI procurement than Botpress or Voiceflow's USD-only invoicing.

When Yellow.ai is the right call

  1. You need deep Hindi / regional-Indian-language conversational AI — this is by far the strongest reason to pick Yellow.ai over global alternatives. The depth in Hinglish / Tanglish / Banglish / Indic-script conversational handling is genuinely category-leading.
  2. You're an Indian BFSI / telecom / utilities buyer needing voice-bot + multi-channel + IVR replacement — Yellow.ai's voice-bot capability with Indian-language native pronunciation is one of the strongest in the market. Strong fit for HDFC Bank / ICICI Bank / Bajaj Finserv / Vodafone-class buyers.
  3. You want an Indian-founded vendor for procurement and relationship reasons — Raghu Ravinutala and team are Bangalore-based, IST-aligned, and Indian-enterprise sales-savvy. The procurement experience is closer to an Indian SaaS vendor than to a US-headquartered enterprise tool.
  4. You're an existing Yellow.ai customer at scale — switching costs are real, and the company is shipping the agentic-AI roadmap. Stay the course unless you have a specific reason to move; renegotiate contract terms with M&A continuity language given the 2025 layoff signals.

Yellow.ai is the wrong call when: vendor stability is your #1 procurement criterion after the 2025 layoffs — consider Botpress ($25M Series B June 2025), Haptik (Reliance Jio balance sheet), or build directly on OpenAI / Anthropic / Gemini; you're a greenfield English-only SaaS without Indian-language requirements — global alternatives are usually cheaper and more battle-tested; you're a small Indian business under ₹50 lakh annual support spend — Yellow.ai's enterprise floor is too high (use Tawk.to / Crisp / Freshchat / Intercom Starter); or you want a fully no-code agent built and operated by one non-engineering person (Intercom Fin is friendlier).

Pros & cons

✓ Pros

  • Category-leading Hindi / regional-Indian-language conversational depth
  • Indian-founded with Bangalore engineering — IST-aligned procurement and support
  • Production-grade voice bots with native Indian-language pronunciation
  • 35+ deployment channels including mature WhatsApp Business API support
  • 15+ LLM orchestration with fallback chains
  • $102M raised across 6 rounds — well-funded by Indian-founder-led standards
  • Enterprise compliance (SOC 2, GDPR, SSO, SCIM, audit logs) ready for BFSI procurement
  • INR billing through Indian entity — clean procurement for Indian buyers
  • AWS Marketplace listing (July 2025) — alternative procurement route

✗ Cons

  • 2025 layoffs (~30% workforce in Dec 2025) signal vendor-stability watch
  • Post-ChatGPT competitive pressure from Microsoft Copilot Studio, Salesforce Agentforce, Vertex AI
  • No public pricing — procurement requires meaningful negotiation
  • Enterprise floor is too high for Indian SMBs (~₹15L+ for serious deployments)
  • Implementation timelines run 4-12 weeks — not a quick-start product
  • Smaller open-source / community ecosystem than Botpress
  • Glassdoor reviews from 2024-2025 reflect post-layoff cultural concerns
  • Strategic narrative still in flux as the company finds its post-conversational-AI shape

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