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    Teramot

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    Sold by: Teramot 
    Deployed on AWS
    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.
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    Overview

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    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

    Details

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    Deployed on AWS
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    Introducing multi-product solutions

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    Features and programs

    Financing for AWS Marketplace purchases

    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.
    Financing for AWS Marketplace purchases

    Pricing

    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.

    1-month contract (3)

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    Dimension
    Description
    Cost/month
    Starter
    5 users, 20 Gold Tables, 150 GB storage, 1,500 GB/month processing, onboarding session, MCP Connector
    $399.00
    Professional
    15 users, 120 Gold Tables, 900 GB storage, 9,000 GB/month processing, implementation clinic, onboarding session, MCP Connector
    $1,999.00
    Enterprise
    Custom user count, custom Gold Tables, custom storage, custom processing, implementation clinic, onboarding session, MCP Connector
    $5,999.00

    AI Insights

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    Dimensions summary

    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

    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.
    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.
    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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    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) .

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    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.

    Resources

    Vendor resources

    Support

    Vendor support

    AWS infrastructure support

    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.

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    Customer reviews

    Ratings and reviews

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    3 external reviews
    External reviews are from G2 .
    Franco F.

    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.
    View all reviews