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Instinct raised $1bn at a $10bn valuation, four times its mark 33 days earlier

Instinct said on 28 September 2026 that it had raised $1bn from Sequoia Capital, Benchmark Capital and Coatue at a $10bn valuation, four times the $2.5bn of its Series B 33 days earlier. Founder Noah Shinn said the user base grew 10-11% a day and annualized transaction volume is approaching $1bn.

AI & modelsNewsGrace OkonkwoPublished: 6 November 20264 min readSources 38
Instinct raised $1bn at a $10bn valuation, four times its mark 33 days earlier

The ladder behind the valuation

Instinct raised a seed at a valuation of roughly $50m, backed by Conviction and Greenoaks, then a $75m Series A at a $500m valuation in early August led by Kleiner Perkins, The Tech Portal reported.

A $250m Series B at $2.5bn followed on 26 August, and Benchmark co-led that round with Index Ventures, according to The Tech Portal. Sequoia Capital, Benchmark Capital and Coatue wrote the Series C, the company said on 28 September. Total funding now exceeds $1.3bn, The Tech Portal reported. The arc from seed to $10bn played out in under a year. Public materials do not say whether the $2.5bn and $10bn figures are pre-money or post-money, or how much equity the new investors hold, Xenospectrum noted.

Why a $10bn price is a test

Instinct is still in early access, after an invite-only launch in August 2026. It has no mobile app and users reach it by SMS. It is incorporated as Spear Street Technology, DigitalToday reported. Founder Noah Shinn said in an interview published on 28 September that the user base grew at a daily rate of 10-11% without advertising, after starting with about 200 friends and family as testers. He did not disclose the current number of users or the period over which that rate was measured. Earlier reports put the figure above 100,000, with the service running at capacity and responses slowing.

Shinn also cited gross transaction volume approaching $1bn on an annualized basis, with travel about half of that. That is the value of goods and services users buy through Instinct, not the company's revenue. He has described collecting transaction fees from merchants and service providers rather than charging users steep monthly fees or running ads, but has not disclosed fee rates or which partners are under contract.

A $10bn valuation on a product with no app and 14 employees says more about investor risk appetite than about disclosed traction, The Tech Portal wrote.

What the agent does

Instinct works through its own phone number and computer, and the company says it finishes tasks rather than describing them: booking trips, ordering groceries, cancelling forgotten subscriptions. Instinct Concierge takes the calls, including restaurants that take no online bookings, a dentist's cancellation list or resolving billing issues. Trusted Person Network lets one user's agent talk to another's to arrange plans and pass PDFs, images and spreadsheets. Location sharing over iMessage lets the agent notice an arrival and suggest something from stored preferences. Instinct says an active detective system catches subtle hallucinations as the agent forms a response, removing them before output or action. The company says its architecture includes isolated sandboxes, short-lived local credentials and identity-signed tool execution. Whether the filter works will only show once access widens, The Tech Portal noted.

"We're building Instinct to be the best personal agent that can handle the deeply personal nuances of everyday life," said Noah Shinn, the company's founder.

The competitive and cost gap

Meta's Muse launched on 8 September and passed 3.4 million downloads in three weeks, with commerce partners including Shopify, PayPal, Instacart and Expedia, The Tech Portal reported. DigitalToday listed Wazo, Ollie and Fogg as startup rivals, with ChatGPT, Grok, Siri and Muse competing more broadly. Against Meta's 3.6 billion daily users, Instinct's invite-only SMS product has no comparable reach; its argument is that depth of personal context beats breadth of integrations. Cost is the other constraint. Instinct's architecture fires dozens of inference calls for every user request, which puts pressure on compute spending, and the product remains free to use for its 100,000-plus users, Yahoo reported.

Instinct's original privacy policy drew criticism and was rewritten. The company says it is working on privacy and security measures, including controls around tool execution.

What happens next

Instinct says the money will bring the product to more people and expand access beyond the invite-only phase. It has not said when that happens, what the service will cost, or given a date for general availability.

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Sources

38
  1. 01Instinct Raises $1 Billion in Series C Funding from Sequoia, Benchmark and Coatue at $10 Billion ValuationEN
  2. 02AI agent startup Instinct hits $10 billion valuation following $1 billion roundEN
  3. 03Instinct, known for its viral AI agent, raises another $1Bn at a $10Bn valuationEN
  4. 04Instinct, an AI Agent for Travel Bookings and Shopping, Valued at $10 BillionEN
  5. 05Instinct Reportedly Seeking $1B at $10B Valuation as Agent Funding Timelines Compress to WeeksEN
  6. 06Instinct Raises $1 Billion Series C At $10 Billion Valuation To Expand Personal AI AgentEN
  7. 07Instinct personal AI agent startup raises $1 billion in Series C, valued at $10 billionEN
  8. 08Personal AI Agent Startup Instinct Lands USD 1 Billion Funding RoundEN
  9. 09Instinct Raises $1 Billion, Reaching a $10 Billion ValuationEN
  10. 10Instinct Raises $1 Billion to Expand Personal AI AgentEN
  11. 11DelegateEval: Evaluating Platforms for Personal External Service AgentsEN
  12. 12Elon Musk's Tesla and SpaceX lose over $420 billion in combined market cap after midtermsEN
  13. 13Airbnb is working on an AI travel agentEN
  14. 14Airbnb says it’s launching an AI travel agent in the first half of 2027EN
  15. 15Perplexity launches its own take on AI agents for workEN
  16. 16The ex-Secret Service agent who flipped a hacker is now raising a second $250M cybersecurity fundEN
  17. 17Claude can now analyze your spending with its new Personal Finance toolEN
  18. 18Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation modelEN
  19. 19Kabilio raises €10M to expand AI accounting platform and introduce AI agentsEN
  20. 20Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AIEN
  21. 21Insurer Guardian hands 1 million dental calls a year to Sierra’s AI agentsEN
  22. 22Launch HN: Rivet (YC W23) – Scale and Orchestrate Agents on S3EN
  23. 23No AI agent scores above 12 percent on SemiAnalysis' new real-world work benchmarkEN
  24. 24Formally verifying agent-written full-stack web apps with PDD KitEN
  25. 25Exclusive: Aina’s Smart Ring Wants to Be a Remote Control for Your AI AgentEN
  26. 26Elon Musk’s nearly half a billion dollars in midterms spending was a flopEN
  27. 27Almost no one uses AI agents to book their Uber, company saysEN
  28. 28STAT+: Pharma critic Bernie Sanders is set to hold major sway over FDA funding billEN
  29. 29Supa raises £21M in seed funding to transform UK residential block managementEN
  30. 30Lazzaro One lands pre-seed funding to advance maritime intelligence technologyEN
  31. 31Autonomous AI Agents Systematically Diverge From Human Preferences in Proof FormalizationEN
  32. 32Trust Responsive Runtime Authorization for Agentic AI with Empirical Characterization of Policy Behavior and Parameter SensitivityEN
  33. 33Closed-Loop Agent Evaluation: Layered Measurement and Self-CalibrationEN
  34. 34EnvOpt: Automated Optimization for Agent EnvironmentsEN
  35. 35FINCOSMOS: An Open-World Evaluation Paradigm for Agents in FinanceEN
  36. 36Beneath the Surface: What We Overlook When We Talk About Agent EvolutionEN
  37. 37Redacting Personal Data: A Speed and Accuracy Comparison of Regex, Presidio and Hybrid DesignsEN
  38. 38Don't Prompt Your Agents. Equip Them: Skillware as a Modular Standard for Sovereign, Auditable, and Deterministic Capability Execution for Logical SystemsEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Grace Okonkwo

Grace Okonkwo

AI, models and technology

Grace Okonkwo covers AI, models and technology for FLASH24, working from primary sources such as model cards, API documentation and benchmark papers rather than vendor summaries. She checks training data provenance, evaluation conditions and reported scores against the underlying datasets before any figure reaches print. She interviews researchers and engineers directly, tracks release calendars from major labs, and compares successive model versions on the same tests. Her own self-hosting, home-network and documentation-reading habits feed straight into that desk, since she tests tools on her own hardware first. She does not publish benchmark claims without a reproducible method.

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