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Sidekick Lab – AI-Powered Data Discovery Platform

Sidekick Lab · Intelligence & Research

SaaSNo attestation published

Certification per Microsoft Marketplace.

Data discovery, data dictionary, data visualization, data governance, database discoveryOntology, data provenance, data governance, reporting, AI-poweredSidekick Lab
Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 9 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
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 Microsoft Marketplace.

Sidekick is an on-premises, inside-tenant AI

platform that gives enterprises a living, governed understanding of their

Show the rest of the publisher’s description (50 more lines)

entire data estate, automatically. It connects to data source systems including

Snowflake, Databricks, SAP, PostgreSQL, MySQL, Oracle, MongoDB and SQL Server,

discovers every data source, field and table, builds a plain-English data

dictionary and ontology, classifies sensitive data, and makes it queryable in

natural language.

The core problem Sidekick solves: 73% of

enterprise AI projects fail, most often because of poor data quality, unknown

assets and a data estate that nobody fully understands before the project

begins. Most organizations believe 80% of their data estate is documented, when

the reality is closer to 30%. Sidekick closes that gap before any AI initiative

begins.

  • Sidekick is not a chatbot or a copilot that

only answers the questions it is asked. It is an autonomous agent that

discovers, audits, analyzes, maps and reasons over data without waiting for a

user query, and improves its understanding of the estate continuously over

time.

  • Sidekick runs on fully supported Microsoft reference stack.
  • Deploys in your tenant, burns your Azure commit/credits, solves your data-discovery and ontology problem.

What Sidekick delivers per source system: a

data dictionary, sensitivity and PII classification, a cleanliness assessment,

use case identification and ontology mapping. Across the organization it

delivers an enterprise data catalogue, a cross-source interoperability map, an

AI-readiness report, data monetisation opportunities and a proposed data

strategy and roadmap.

Deployment and security:

Sidekick deploys

fully inside the customer's own environment (Azure, on-premises, or other

approved region), with no data leaving the customer's perimeter. Access to

source systems is read-only with zero write access. The platform uses data

minimisation, accessing only schemas and configurable sampled records rather

than full extractions, and customers control scope using allow-lists,

deny-lists or schema/table restrictions. Access control is managed through

Microsoft Entra ID with role-based and field-level security. Full audit trails

are available for SIEM integration, and the architecture is POPIA and GDPR

aligned, HIPAA-suitable and built to ISO 27001 and SOC2 practices. Encryption

is AES-256 at rest and TLS 1.3 in transit. No customer data is used for model

training and no cross-tenant data sharing is possible.

Infrastructure:

Sidekick runs on a Windows

VM (SQL Server 2022, minimum 4 vCPU / 16GB RAM) and a Linux VM (Docker

containers via Docker Compose, minimum 2 vCPU / 8GB RAM). It is strategically

aligned with Microsoft, running on Microsoft AI Foundry and Azure, and

extending into Microsoft Fabric and Copilot. The platform is cloud-agnostic and

can also run on AWS or GCP, and a partner-hosted LLM option is available for

fully air-gapped environments.

Current agents include Discovery and

Cataloguing (scans the full environment, builds and maintains the catalogue,

identifies cross-source use cases) and Reporting and Insights (natural language

questions with real-time answers, shareable dashboards, improves with feedback

over time).

Preview

5 images
Sidekick Lab – AI-Powered Data Discovery Platform preview 1Sidekick Lab – AI-Powered Data Discovery Platform preview 2Sidekick Lab – AI-Powered Data Discovery Platform preview 3Sidekick Lab – AI-Powered Data Discovery Platform preview 4Sidekick Lab – AI-Powered Data Discovery Platform preview 5

Agent build and provenance

See the full provenance

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.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Plans and pricing as listed

3 listed
Enterprise
  • Data Source Type: $6,000.00 per data source
$90,000.00/year
The Enterprise Plan is $90,000 per year
Enterprise Plus
  • Data Source Type: $5,000.00 per data source
$150,000.00/year
The Enterprise Plus plan is $150,000 per year
Strategic
$250,000.00/year
The Strategic plan is $250,000+ per year

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

4 links
Supportsidekicklab.aiSource
Sidekick Sales Presentationcatalogartifact.azureedge.netSource
Solution Overviewcatalogartifact.azureedge.netSource
Deployment Setup Guidecatalogartifact.azureedge.netSource

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
3 plans listed
Delivery
SaaS
https://sidekicklab.ai/
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Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.