AI MARKET MAP

Adept AI

https://www.adept.ai Research Team Data
Defunct

AI action model startup; co-founders and majority of team joined Amazon in 2024 acqui-hire. Company remains independent but significantly reduced. Originally built AI models to interact with software UIs.

Develops AI models capable of interacting with software interfaces to perform tasks.

Positioning

AI that takes action

Key facts

HQ location
San Francisco, CA, USA
Founded
2022
Employee range
51-200 (~68 (post Amazon acqui-hire 2024))
Funding stage
Bootstrapped
Company type
Private (Private; key founders/team joined Amazon and Amazon licensed technology in 2024)
Pricing model
Unknown (Unknown)
Last updated
Jun 21, 2026

Revenue estimate

Unknown

Valuation estimate

>$1B before Amazon licensing/talent deal; current valuation Unknown

Investments

$410M+ raised before 2024 Amazon licensing/talent deal

Target customers

Enterprise software users

Key competitors

OpenAI, Anthropic, Cognition

Known customers

Unknown

Classification (raw research text)

Core focus
Action model AI
Core industry
AI Infrastructure
Core category
AI agent platform

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Primary focus
  • AI Automation / Business Process Automation Primary focus
  • AI Fine-tuning / Custom Model Training Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Model Deployment / Inference Infrastructure Secondary feature
  • Traditional Machine Learning Secondary feature
  • AI Security / Guardrails Secondary feature
  • Enterprise App / Internal Tool Builder Secondary feature
Show all 32 attributes
  • AI Workflows Primary focus
  • AI Automation / Business Process Automation Primary focus
  • AI Fine-tuning / Custom Model Training Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Not emphasized
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Not emphasized
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Not emphasized
  • Model Deployment / Inference Infrastructure Secondary feature
  • Traditional Machine Learning Secondary feature
  • AI Quality Assurance / LLM Evaluation Not emphasized
  • AI Observability / Monitoring Not emphasized
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Not emphasized
  • AI Governance / Policy Management Not emphasized
  • AI Risk / Compliance Not emphasized
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Not emphasized
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Not emphasized
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Not emphasized
  • Enterprise App / Internal Tool Builder Secondary feature
  • Vertical-Specific AI Not emphasized