Bret Taylor, Sierra AI co-founder and CEO, and Aakash Thumaty, founder of Takeoff, smiling together beside the Sierra office sign.
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Sierra Buys Takeoff, Launches Horizon Agent Platform

2 MINUTE READ|Customer ExperienceCustomer Experience|Jul 24, 2026
Dom Nicastro avatar
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The deal pairs Sierra's enterprise reach with Takeoff's long-horizon agent runtime under a new joint platform aimed at outcome-based AI.

The Gist

  • Acquisition announcement. Sierra acquired Takeoff to build long-horizon AI agents.

  • Joint platform launch. The combined teams will develop a new platform called Horizon.

  • Enterprise impact. Leaders gain access to scalable, outcome-driven AI agents across industries.

Sierra has acquired AI agent startup Takeoff and unveiled Horizon, a joint platform for long-running, outcome-driven enterprise agents.

Sierra made the announcement on July 23. Takeoff according to its team grew from $0 to nearly eight figures in annual recurring revenue (ARR) in about seven months with a three-person team.

Takeoff built what it describes as a "long-horizon agent runtime" designed to let AI agents handle end-to-end tasks across industries including lending and healthcare. Aakash Thumaty of Takeoff said the company secured several seven-figure contracts across five industries by focusing on revenue-aligned outcomes rather than inference APIs alone.

The acquisition aligns with Sierra's broader strategy of scaling industry-specific AI agents globally. Thumaty said both companies share the conviction that the largest AI businesses will be built around measurable outcomes, not model inference.

"We've spent the last 14 months building Takeoff into a long-horizon agent runtime that enables agents to operate like humans but scale like software," Thumaty said in a statement.

Sierra-Takeoff Horizon Platform Capabilities

The combined Sierra-Takeoff effort centers on the Horizon platform. Below are the stated capabilities, according to company officials.

Capability

Description

Horizon platform

Joint platform for long-running, outcome-driven AI agents

Long-horizon agent runtime

Agents designed to execute multi-step tasks over days or weeks

Industry-specific deployment

End-to-end solutions tailored to lending, healthcare and other verticals

Outcome-based model

Revenue tied to results produced, not inference volume

Global scale

Extends agent deployment worldwide via Sierra's partnerships

Sierra's Recent Moves

Sierra has emerged as one of enterprise AI's most valuable players, closing a $950 million Series E in May 2026 led by Tiger Global and GV at a $15 billion valuation — its third major funding milestone in roughly 18 months, up from $4.5 billion in late 2024.

The company crossed $150 million in ARR seven quarters after its February 2024 launch, with more than 40% of the Fortune 50 now counted as customers. New capital is earmarked for European and Asian expansion and for extending agents into sales and customer lifetime value optimization.

Sierra's platform has expanded beyond customer support into Agent OS 2.0, an Agent Data Platform and enterprise change management tooling. Notable deployments include Nordstrom's voice agent "Nora" (live in five weeks), Singtel (10 weeks, resolution rates above 70%) and Cigna (eight weeks, cutting patient authentication time by 80%).

The company also achieved FedRAMP High authorization in June, unlocking access to federal agencies. This month, it named SoftBank Corp. as its exclusive Japan sales partner, building on a LINEMO deployment that delivered 97% inquiry resolution and 93% customer satisfaction.

Agentic AI Platforms: ROI & Architecture

Autonomous agent platforms are moving past pilots into production, with vendors tying architecture decisions directly to revenue outcomes and compliance requirements.

Grounding Agents in Systems of Record

Effective autonomous agents depend on systems of record. Agents resolve up to 40% of inquiries across chat, email, voice and WhatsApp when integrated with CRM knowledge bases and workflow APIs.

Learning OpportunitiesView All

ServiceNow's Autonomous CRM platform, launched May 5, illustrates the architecture. Prepackaged actions span service, sales and field operations across government, finance, telco, healthcare and retail. The company said the platform resolves more than 100 million customer cases monthly.

Omnichannel Deployment Patterns

Autonomous agents now operate across voice, web, chat, email and messaging in what amounts to a modern omnichannel contact center architecture. The model replaces handoff-heavy processes with multi-step autonomous execution.

Governed agents — those constrained by business logic and human-in-the-loop oversight — deliver deterministic outcomes in regulated environments. Clear escalation paths remain important in sectors governed by HIPAA, SOC 2 and the EU AI Act.

Sierra Background

Sierra was founded in 2023 by Bret Taylor and Clay Bavor. The company offers Agent OS, a conversational AI platform for designing, deploying and managing autonomous agents across chat, SMS, WhatsApp, email and voice. Sierra serves financial services, healthcare, telecommunications and retail.

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Main image: Sierra AI

About the Author

Dom Nicastro is editor-in-chief of CMSWire and an award-winning journalist with a passion for technology, customer experience and marketing. With more than 20 years of experience, he has written for various publications, like the Gloucester Daily Times and Boston Magazine. He has a proven track record of delivering high-quality, informative, and engaging content to his readers. Dom works tirelessly to stay up-to-date with the latest trends in the industry to provide readers with accurate, trustworthy information to help them make informed decisions.
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