Orchestra Technologies Ltd., provider of an agentic management service for enterprise data and artificial intelligence, today announced the launch of its platform, giving teams greater control over how they build, automate and operate AI workflows.
The company’s Agentic Control Plane connects to an organization’s existing data infrastructure to create a context-aware management interface. It includes a dashboard and low-code builder that allows data teams and engineering to manage AI agents and data at scale.
“AI is creating enormous demand across the enterprise, but data and now AI teams are still managing infrastructure that was never designed to support it,” said co-founder and Chief Executive Hugo Lu.
Using the company’s capabilities, engineering teams can easily view and orchestrate millions of tasks and agents in parallel. This means teams don’t need to maintain their own large clusters; Orchestra does the heavy lifting using managed infrastructure. Teams can build an interface in a few lines of code, and the platform monitors everything in one place, providing visibility across the entire organization.
The company said this approach is a “single pane of glass” for data and AI. It allows engineering teams to run any code on managed data. Data teams can connect different tools and visualize the entire workflow using views that show where connections happen and AI agents monitor data flows, agentic activity and connections. If something goes wrong, an agent takes action to repair the problem or to notify someone who can.
Orchestra said more than 100 core integrations with existing data products and AI tools allow companies to adopt the platform without replacing the technology they already use. For example, it can use Microsoft Teams, Slack, GitHub Actions, Datadog, Google LLC’s BigQuery, Snowflake and more, connecting via SSH, HTTP, SFTP and other protocols. It can also link up with major AI providers, including Anthropic PBC’s Claude, OpenAI Group PBC’s ChatGPT and Amazon Web Services Inc.’s Bedrock.
The company’s launch is supported by $4.6 million in total funding, including a recent $3.3 million seed round led by Differential Ventures and a $1.3 million pre-seed round led by Moonfire. Additional backers included Breakers, Tokyo Black and Contour Venture Partners. The company said the capital will fuel hiring for its engineering and go-to-market teams in London, advance product development and allow the company to increase traction in the United States and Europe.
Orchestra’s current customers include the credit reporting agency Experian plc, AI-native enterprise resource planning company Campfire Software Inc., professional baseball team the San Francisco Giants and the digital estate planning and probate firm Trust & Will.
The company said customers cut runtime costs by up to 80% and shortened migration times from years to months. The platform is currently automating hundreds of failure investigations every day and the company said it can cut pipeline development time by up to 95%.
Every AI agent runs in a secure environment, isolated with controlled access to the resources it needs for its assignment. The company said this allows customers to create pipelines, investigate incidents and automate failure triage without exposing sensitive information.
The entire platform is AI model agnostic, permitting data and AI engineers to build agents and workflows without manually handling every request. The orchestration provides a shared foundation for the team to work across the enterprise, while data and AI isolation helps agents maintain security and transparency.
