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 that scale by capacity and team size. Starter and Growth are fixed monthly plans with set user counts, storage limits, and monthly processing allowances. Moving up the tiers raises these limits and adds features like unlimited dashboards, incremental refresh, alerts, and priority support. On Starter and Growth, you add users beyond the included count for a flat per-user monthly fee. Custom removes capacity caps entirely and adds options like single sign-on, deployment in your own AWS account, and a dedicated contact. Custom pricing is set through a private offer from the vendor.
Top-of-mind questions for buyers
What exactly counts toward my monthly processing allowance?
Processing measures the volume of data transformed and queried each month. This includes pipeline runs, transformations across the raw, cleaned, and business-ready layers, and query execution. Both Starter and Growth set a fixed monthly processing cap, and your usage draws against that allowance.
What happens if I go over my storage or processing limit?
You get a warning before any overage is billed. You can then upgrade your tier or adjust usage to stay within limits. On Custom, storage and processing are uncapped, so these limits do not apply.
How does adding users beyond the included count affect my bill?
On Starter and Growth, each extra user adds a flat monthly fee charged for the full month. A seat renews while someone uses it; if it is free at renewal, it is removed on its own. On Custom, extra users are negotiated.
teramot.com
Helpful?
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.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Teramind provides workforce visibility that shows not just what's happening, but why - detecting security threats, ensuring compliance, and optimizing productivity.
Teramind Workforce and Behavioral Analytics Platform provides workforce visibility that shows not just what's happening, but why - detecting security threats, ensuring compliance, and optimizing productivity.
NOTE: This listing is for Private Offers - If you buy this listing in self-service it is equal to Teramind Starter 5-user license.
TensorInsights: Use Generative AI models on Bedrock to do Semantic Search against Unstructured Data to unlock data insights and productivity in the security of your AWS account.
A data integration layer that actually works out of the box
Reviewed on Jun 23, 2026
Review provided by G2
What do you like best about the product?
Teramot solved one of our biggest pain points: having data scattered across different systems (ERP, CRM, spreadsheets) with no easy way to consolidate it for analysis or AI use cases. The onboarding was surprisingly fast — we had our first data integrations running within days, not months. The gold layer concept is great: instead of building custom pipelines every time someone needs a new report, we now have a clean, governed data layer that anyone on the team can query. The connectors are plug-and-play and cover the main tools we use. What surprised us most was how little engineering effort was required on our end compared to other solutions we evaluated.
What do you dislike about the product?
As a relatively new product, there are some connectors still being developed and the documentation could be more detailed in certain areas. But the team is very responsive and has been quick to add what we needed.
What problems is the product solving and how is that benefiting you?
We were spending too much time manually consolidating data from different sources before we could even start any analysis. Teramot automated that entire process and gave us a reliable, always-updated data layer. This directly cut down the time between "we need this insight" and "here it is" from days to hours. It also unblocked our AI initiatives — we finally have clean, structured data that models can actually work with.
Gaspar R.
A Simple, Game-Changing Way to Connect Databases with Claude
Reviewed on Jun 16, 2026
Review provided by G2
What do you like best about the product?
For us, it’s a simple way to connect different databases and build products faster. The MCP connection is a real game-changer, because it lets me connect almost anything with Claude.
What do you dislike about the product?
There’s really nothing I don’t like. Good product, good team.
What problems is the product solving and how is that benefiting you?
Data engineering
Federico R.
Quick and efficient data analytics
Reviewed on Mar 20, 2026
Review provided by G2
What do you like best about the product?
The speed with which I can solve data analytics, which would otherwise take me a lot of time.
What do you dislike about the product?
It should be more intuitive on first use.
What problems is the product solving and how is that benefiting you?
Analyze complex datasets and respond confidently to queries. Also, it is easy to adjust and very versatile when it comes to combining tables.