Thoughtworks offers the AI/works™ Agentic Development Platform, which packages decades of engineering IP into an agent‑driven framework that automates architecture, code generation, and integration for industrial‑grade AI systems. By providing native connectors to major cloud and compute services (AWS, GCP, Azure, Databricks, Snowflake) and legacy mainframe renewal via Mechanical Orchard, the platform reduces development cost and time while ensuring high‑quality, enterprise‑ready AI solutions.
Funding
$720M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face high costs, long timelines, and significant technical risk when building industrial‑grade AI‑enabled systems, especially when integrating with diverse cloud, data, and legacy mainframe environments.
Solution
Thoughtworks’ Agentic Development Platform, AI/works™, aggregates decades of engineering intellectual property into a reusable, agent‑driven framework. Expert technologists steer the platform to automate architecture, code generation, and integration patterns, delivering higher‑quality AI solutions at substantially lower cost. The platform connects natively to leading cloud and compute services such as AWS, Google Cloud, Azure, Databricks, and Snowflake, while also supporting deep mainframe renewal through a partnership with Mechanical Orchard. By encapsulating best‑practice design, testing, and deployment pipelines, AI/works enables organizations to accelerate time‑to‑value and focus on business outcomes rather than low‑level engineering challenges.
Target Audience
Primary customers are large enterprises and technology leaders that need to develop, deploy, and maintain complex AI‑driven applications at scale, including CIOs, engineering directors, and digital transformation teams.
Features
- Agentic development engine that codifies and reuses proven AI architecture patterns across projects
- Built‑in integrations with major cloud, data, and compute APIs (AWS, GCP, Azure, Databricks, Snowflake)
- Legacy mainframe renewal support via Mechanical Orchard connectors
- Automated quality gates, testing suites, and continuous‑delivery pipelines for AI workloads
- Expert‑guided orchestration by Thoughtworks technologists to ensure alignment with enterprise standards
- Scalable, modular components that can be assembled to create end‑to‑end industrial‑grade AI systems