Teramot is the AI for data infrastructure. Tell it what you need and it connects to your data sources, understands your structure, and builds production ready pipelines without manual engineering.
Teramot is a fully managed SaaS platform that turns business intent into deployed data infrastructure. Built on AWS, it connects to your existing data sources including ERPs, CRMs, databases, files, and APIs and autonomously builds the pipelines, transformations, and models your team needs to make decisions.
Instead of writing SQL or waiting on engineering, you describe what you want to understand or build. Teramot reads your actual data, proposes what to construct and why, and deploys it to production when you are ready. What used to take weeks of data engineering now happens in hours.
Under the hood, a distributed multi agent AI architecture handles metadata analysis, data validation, schema alignment, error correction, and data modeling replacing manual pipeline work with a conversational iterative process that keeps your team in control at every step.
Data is structured across Bronze, Silver, and Gold layers following the Medallion architecture ensuring every table and pipeline is traceable, reusable, and production grade. Output can be consumed by BI tools, analytics platforms, or conversational AI interfaces powered by large language models.
Teramot runs on scalable AWS infrastructure with enterprise grade security and SOC 2 compliance designed for data teams that need to move fast without compromising governance or reliability.
Highlights
From business intent to production data infrastructure. Teramot agentic AI understands your data, proposes what to build, and deploys it. No manual engineering required.
Built on AWS with a secure SaaS architecture and SOC 2 compliance, ensuring enterprise grade data governance, security, reliability, and operational trust.
AI data engineering,Agentic AI pipelines,Automated ETL,Cloud native data platform,Data quality automation,AWS native,SOC 2 compliant,Data infrastructure automation,Conversational data,Multi-agent AI,BI automation,MCP data platform,Autonomous ETL
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You choose from three contract tiers billed as units. Starter, Professional, and Enterprise scale together across four capacity measures: user count, Gold Tables (business-ready datasets), storage, and monthly processing volume. Starter and Professional set fixed limits on each measure, so higher tiers raise all four at once. Enterprise leaves user count, Gold Tables, storage, and processing custom, sized to your needs. Every tier includes the MCP Connector and an onboarding session. Professional and Enterprise add an implementation clinic. Additional Gold Tables are available as add-ons, priced separately by contacting the vendor.
Top-of-mind questions for buyers
What counts as one Gold Table for billing purposes?
A Gold Table is a business-ready dataset produced by the AI agents. It contains transformed, aggregated, and calculated data ready for analysis. Each active production-ready dataset you maintain counts as one Gold Table. Your tier sets how many you can keep active at once.
What happens if I exceed my storage or monthly processing limits?
You get a warning before any overage is billed. You can then upgrade your tier or adjust usage. Storage measures total data in your managed Data Lakehouse. Processing measures data transformed and queried each month, including pipeline runs and query execution.
Which capacity measure tends to drive my tier choice?
Four measures apply at once: user count, Gold Tables, storage, and monthly processing. On Starter and Professional, all four are fixed together, so hitting any one limit prompts a tier change. Heavy pipeline runs and queries push processing; large datasets push storage. Additional Gold Tables are available as add-ons.
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Vendor refund policy
All paid subscriptions include a 14 day refund policy. Refund requests must be submitted within 14 days of the billing date. To request a refund contact support@teramot.com with your AWS account ID and reason for the request. Refunds are not available for partial months or usage already consumed.
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