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TeamLoop - AI Knowledge Platform

teamloop · Software Development

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownContainer
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

TeamLoop deploys a production-ready AI knowledge platform in your AWS account. It connects to GitHub, Notion, Linear, Jira, Confluence, Asana, Figma, Zendesk, Datadog, and PagerDuty, enabling AI assistants like Claude to search, retrieve, and reason over your organization's knowledge using the Model Context Protocol (MCP).

Unlike standard RAG systems, TeamLoop tracks how documents change over time with temporal versioning. Query modes include current state, point-in-time snapshots, evolution over a date range, and side-by-side comparisons. All data stays in your VPC, nothing leaves your account.

Show the rest of the publisher’s description (1 more line)

The stack includes Aurora PostgreSQL Serverless v2 with pgvector, ECS Fargate with auto-scaling, Cognito authentication with optional SAML federation, and Amazon Titan V2 embeddings (or bring your own Voyage AI key).

Highlights

Highlighted by the publisher on AWS Marketplace.

Temporal AI Memory: Track how your organization's knowledge evolves over time. Query current state, point-in-time snapshots, evolution ranges, and side-by-side comparisons across GitHub, Notion, Linear, Jira, Confluence, and more.

MCP-Native Integration: Works with any AI assistant that supports the Model Context Protocol, including Claude, Cursor, and VS Code. Connects 10+ enterprise tools with OAuth authentication via Cognito.

Fully Private VPC Deployment: All data stays in your AWS account. Aurora PostgreSQL with pgvector, ECS Fargate with auto-scaling, optional SAML SSO, and Amazon Titan V2 embeddings with no external API calls.

Agent build and provenance

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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Plans and pricing as listed

4 listed
Seats
  • Units
$0.001
P1M
Seats
  • Units
$0.001
P12M
Queries
  • Units
$0.001
P1M
Queries
  • Units
$0.001
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

We offer a full refund within 30 days of purchase if TeamLoop does not meet your requirements. To request a refund, contact chris@teamloop.io with your AWS account ID and order details. Refunds are processed through AWS Marketplace within 5-10 business days.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
4 plans listed
Delivery
Container
support@teamloop.io. Documentation at https://docs.teamloop.io. Response within 1 business day.
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