Crow

Crow

Let users control your app through chat

Winter 2026ActiveB2BArtificial IntelligenceGenerative AIChatbotEnterpriseAI AssistantSan Francisco, CA, USA
Crow lets users control your app through chat. Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus. Crow connects to your APIs and data sources, navigates your UI, and executes real actions. Set guardrails, define workflows, track every interaction, and deploy in under a week—no rebuilding required.

Verdict

High Signal
Market Opportunity
Every SaaS company is a potential customer for a 'chat-ify your product' layer — massive B2B TAM. The ICP is clear: SaaS companies that can't afford to build AI chat natively (which is most of them). Monetization path is obvious (API usage fees or SaaS subscription per seat/interaction). The macro tailwind of chat-first UX expectations is real and accelerating.
Medium Signal
Founder Signal
Both are recent Berkeley CS/EECS grads (class of 2025), so relatively early-career. Jai had SWE internships at Typeface (AI video, Jun-Aug 2025) and percipient.ai (multimodal/national security, May-Aug 2024), plus founding engineer at ProPal for ~1 year. Aryan has internships at Qualcomm, Shasta Health (YC S23), and Frontdesk (Pear VC), plus ~2 years as a Lieutenant in Singapore Armed Forces — a legitimately differentiating signal for resilience and leadership. Neither has shipped a major product at scale or has a prior exit, but they're technically credible for their age.
Low Signal
Competition
This is a crowded space: Intercom Fin, Zendesk AI, and numerous 'AI copilot SDK' startups (e.g., Voiceflow, Dust, Chaindesk, CommandBar AI) are all attacking adjacent angles. Large incumbents like Salesforce Einstein and Microsoft Copilot are building similar 'natural language UI' layers. No proprietary data moat or network effects described. Differentiation on 'under a week deployment' is a weak moat — easily copied.
Medium Signal
Product
The product concept is clearly articulated — a chat layer that connects to existing APIs/UIs without rebuilding, with guardrails, workflows, and interaction tracking. However, no named customer logos, revenue metrics, or live demo evidence visible. LinkedIn posts mention Shopify, Ramp, PostHog as market examples (not customers). Claims 'deploy in under a week' which is a concrete differentiator, but no proof points beyond the pitch.
OverallB Tier

Crow is attacking a real and large market with a sensible wedge — letting SaaS companies add chat-driven action layers without rebuilding their stack. Both founders are technically capable Berkeley CS grads with relevant internship experience, and Aryan's military background adds a real resilience and leadership signal. However, the competition is brutal: Intercom, CommandBar, Zendesk, and dozens of AI copilot SDK startups are all in this space, and big tech is converging here fast. There's no disclosed traction, named customers, or revenue to validate product-market fit yet. The core risk is commoditization — the 'connect chat to your API' problem is well-understood and the moat is thin unless Crow finds a specific vertical or workflow where it becomes deeply embedded.

Active Founders

Jai Bhatia
Jai Bhatia
Founder

Turning products AI-native Crow Technology Officer (CTO) CS @ UC Berkeley ex-SWE @ 5 startups 🐦‍⬛

Aryan Vij
Aryan Vij
Founder

Turning products AI-native Crow Executive Officer (CEO) Prev engineering @ Qualcomm, Shasta Health (S23), and Frontdesk (PearVC). UC Berkeley EECS. Ex-Military Officer @ Singapore Armed Forces.

Crow
Crow
TierB Tier
BatchWinter 2026
Team Size2
StatusActive
LocationSan Francisco, CA, USA