Trail is an enterprise AI software platform developed by Nanonets, a San Francisco-based company founded in 2017. Trail provides a shared context and governance layer for AI agents, transforming company policies, standard operating procedures, business records, and institutional knowledge into structured, source-linked information. Its products include a Context Graph, a Natural Language Rule Engine, an Agent Builder, and Trail-code, an open-source context tool for coding agents. Businesses can connect existing AI systems through Model Context Protocol, REST, GraphQL, LangChain, and LlamaIndex integrations. Trail supports complex business workflows involving finance, accounting, operations, supply chain, healthcare, and other enterprise functions. Its platform addresses problems involving fragmented organizational knowledge, conflicting business rules, incomplete agent context, and insufficient traceability of automated decisions. Trail is part of the Nanonets product portfolio.
Trail offers opportunities to work on enterprise AI systems involving context graphs, knowledge representation, business-rule governance, agent orchestration, and developer tooling. Its parent company, Nanonets, participated in Y Combinator's Winter 2017 batch and reported $42 million in total funding following its 2024 Series B round led by Accel. The company reports serving more than 10,000 businesses across its broader platform. Its open-source Trail-code project has attracted more than 11,000 GitHub stars as of November 2026. Engineering roles reference Go, React, Python, Kubernetes, and large-scale AI workflows. Trail's careers page emphasizes individual ownership, direct customer impact, and cross-functional collaboration. It also publishes employee benefits for US-based roles and lists opportunities in Bengaluru. Candidates should evaluate role-specific compensation, reporting structures, workload, and benefits during recruitment.
Programming Language
Developer Tooling Runtime
Source Code Parsing
Backend Development
Backend and AI Development
Frontend Development
Infrastructure and Container Orchestration
API Technology
AI Agent Integration
Sarthak Jain is the co-founder and CEO of Nanonets and Trail. He studied electrical engineering at IIT Gandhinagar and worked on machine learning and gesture-recognition research involving Johns Hopkins University and Hewlett-Packard. He previously co-founded Cubeit, an AI-focused startup acquired by Myntra in 2016. In 2017, he co-founded Nanonets with Prathamesh Juvatkar and participated in Y Combinator's Winter 2017 batch. He leads the company's strategy, products, and enterprise AI business.
Prathamesh Juvatkar is the co-founder and CTO of Nanonets and Trail. He studied electrical engineering at IIT Gandhinagar, where he received the Institute Gold Medal, and was a research fellow at Caltech. His experience includes research and engineering work at Marvell and co-founding Cubeit, which Myntra acquired in 2016. He co-founded Nanonets in 2017 and has worked on deep learning, software architecture, machine learning infrastructure, and AI-driven enterprise automation.
Aakash Mehta leads product at Nanonets, the company behind Trail. He previously held enterprise sales and account management roles at Adobe and software engineering positions at Morgan Stanley. He studied at IIT Bombay. His experience combines enterprise software development, commercial strategy, and product leadership.
Utkarsh Phirke leads AI at Nanonets, Trail's parent company. He studied at IIT Bombay, with a minor in Computer Science and Engineering. His expertise includes machine learning, data science, and AI engineering. His role is relevant to the development and application of AI technologies across the company's enterprise automation products.
Anirudh Patri works on enterprise AI business development and go-to-market activities at Trail and Nanonets. He previously worked in consulting at McKinsey and Deloitte, advising enterprises on growth and digital strategy. He studied at IIM Ahmedabad. His work focuses on enterprise AI adoption, commercial strategy, customer engagement, and identifying business workflows suitable for automation.
Trail
Trail published benchmark results dated November 2026 comparing its agent memory capabilities with other systems. The company describes its evaluation methodology and reports results across multiple memory benchmarks. These are company-reported results, and Trail states that they have not yet appeared on the public benchmark leaderboards.
Read articleTrail
Trail announced that its open-source developer tool Graft had been renamed Trail-code. The updated product retains the existing codebase mapping capabilities and adds a system for recording and sharing engineering learnings through Git repositories. The project is distributed under the MIT license and supports AI coding tools such as Claude Code, Cursor, and Codex.
Read articleNanonets
Trail's parent company, Nanonets, announced a $29 million Series B funding round led by Accel, with participation from Elevation Capital and Y Combinator. Nanonets reported total funding of $42 million following the round. The investment was intended to support AI research, product development, and business expansion. This funding predates the Trail brand and is not a separate Trail financing round.
Read articleTrail HqPalo Alto, USA
Trail HqPalo Alto, USA
Trail HqPalo Alto, USA
Trail HqLocation not specified
Trail HqBengaluru, India
Trail HqLocation not specified
Trail HqBengaluru, India
Trail HqBengaluru, India
Trail HqPalo Alto, USA
Trail HqBengaluru, India
Trail HqPalo Alto, USA
Trail HqBengaluru, India
Trail HqLocation not specified
Trail HqLocation not specifiedContract
Trail HqBengaluru, India
Trail HqLocation not specified
