Adopt AI is a technology company that provides a platform enabling businesses to transform their applications into intelligent, AI-powered agentic experiences. Their products, Agent Experience and Agent Builder, allow users to interact with applications through natural language commands, automating workflows and executing complex tasks without traditional UI constraints. This approach increases software adoption, user satisfaction, and ROI by simplifying user interactions and reducing support costs. Adopt AI's no-code platform accelerates deployment, enabling companies to launch AI agents within days, and supports any cloud-hosted application. The company is SOC 2 Type II and GDPR compliant, emphasizing data security and privacy. Key clients include Zuora, 6sense, Moengage, and Spendflo, reflecting traction in enterprise SaaS markets. Founded by experienced leaders with backgrounds in AI and SaaS, Adopt AI is positioned as a pioneer in the emerging agentic AI era, offering a competitive edge through innovative user experience transformation.
Agentic AIAI AgentsCloud ApplicationsNatural Language InterfaceNo-codeSaaSUser ExperienceWorkflow Automationadopt.ai
Adopt AI
Adopt AI is a technology company that provides a platform enabling businesses to transform their applications into intelligent, AI-powered agentic experiences. Their products, Agent Experience and Agent Builder, allow users to interact with applications through natural language commands, automating workflows and executing complex tasks without traditional UI constraints. This approach increases software adoption, user satisfaction, and ROI by simplifying user interactions and reducing support costs. Adopt AI's no-code platform accelerates deployment, enabling companies to launch AI agents within days, and supports any cloud-hosted application. The company is SOC 2 Type II and GDPR compliant, emphasizing data security and privacy. Key clients include Zuora, 6sense, Moengage, and Spendflo, reflecting traction in enterprise SaaS markets. Founded by experienced leaders with backgrounds in AI and SaaS, Adopt AI is positioned as a pioneer in the emerging agentic AI era, offering a competitive edge through innovative user experience transformation.
Agentic AIAI AgentsCloud ApplicationsNatural Language InterfaceNo-codeSaaSUser ExperienceWorkflow Automationadopt.ai
HQSan Jose, US
Team Size27
Open Jobs9
Total Funding$6M
Latest Fundraise10 months ago
TL;DR
What: Agentic AI automation platform that turns applications into natural‑language-driven agents
Funding: Seed — $6,000,000 (announced May 13, 2025), lead investor: Elevation Capital
Security & compliance: Completed SOC 2 Type II audit (all five Trust Services Criteria) and ISO/IEC 27001 certified
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Company Overview
Problem Domain
Enterprise automation / apps-to-agents — turning existing software stacks into agentic interfaces that can perform verified actions and workflows.
Founded
2024
Industry
Data and Analytics
Tech Stack
Cloudflare
Cloudflare CDN
Content Delivery Network
DNSSEC
Google Tag Manager
HSTS
IPv6
Viewport Meta
Apple Mobile Web Clips Icon
Funding Track Record
Seed- 2025-05-13
6000000
Company announced $6M seed round with participation from Foster Ventures, Powerhouse Ventures, Darkmode Ventures and angel investors.
Investor Signal
“Seed round led by Elevation Capital with participation from Foster Ventures, Powerhouse Ventures, and Darkmode Ventures.”
Founders
What we do
Join the Team
Founding Engineer
On-SiteBengaluru, Karnataka, IN
On-Site • Bengaluru, Karnataka, IN
Company Description
Adopt AI empowers modern applications to provide agentic experiences for end users within days. With Adopt, users can execute complex actions, automate workflows, and innovate via natural language commands. Our AI agents understand workflows and execute dynamic plans to achieve desired outcomes, enabling intuitive interaction with technology. Adopt AI helps companies build AI copilots and autonomous/semi-autonomous agents to stay relevant, adapt to changing needs, and retain high user satisfaction and engagement.
About the Role
This is a full-time on-site role for a Founding Engineer located in Bengaluru.
Responsibilities
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Architect and build the core runtime that lets AI agents safely execute real workflows across SaaS tools and internal systems.
Work side-by-side with the founders to define product direction, technical strategy, and what the company ultimately becomes.
Turn messy real-world workflows into deterministic, reliable automation — retries, fallbacks, state handling, and correctness guarantees.
Design event-driven and scheduled systems (triggers, background jobs, long-running workflows) that operate continuously in customer environments.
Make agents debuggable and trustworthy: tracing, reproducibility, observability, and clear failure reasoning.
Build and evolve integrations (APIs, auth, data models) so software becomes operable by AI, not humans.
Own reliability end-to-end — performance, safety, cost efficiency, and scalability under production load.
Talk to customers frequently, debug live issues, and convert edge cases into product capabilities.
Reduce AI fragility: improve execution accuracy, remove prompt dependence, and harden the system toward deterministic behavior.
Ship quickly across the stack (backend, infra, SDKs, tooling) and raise the engineering bar as the team grows.
Establish engineering practices early — code quality, incident response, architecture decisions, and technical culture.
Build product, not just systems — every line of code should move a real user workflow from manual → autonomous.
Requirements
5+ years of strong backend/systems engineering experience at top technology companies or startups.
Deep expertise in distributed systems, cloud-native architectures, and scalable system design.
Practical experience building or deploying ML/GenAI applications (or closely working with ML/DS teams).
Skilled in programming languages such as Python, Go, or TypeScript.
Solid understanding of system observability, resiliency design, and SRE practices.
