# Didati

> Didati is a patent-pending Data & AI Enablement platform. Its flagship product, Huckleberry, connects fragmented enterprise data silos through governed data products and decentralized adaptive intelligence — virtualizing data where it lives instead of migrating it, and enabling secure, governed AI deployment in days.

Didati, Inc. is a US company with offices in Durango, Boulder, and Fort Collins, Colorado. The platform is offered as managed (Didati-hosted) or self-hosted, including air-gapped deployments for regulated environments. Contact: contact@didati.com.

## Core concepts
- **Data Sovereignty / in-situ virtualization**: data never leaves its original domain — no ETL, no copying, no replication lag. Computation travels to the data.
- **Agentic Data Mesh**: decentralized, governed, versioned data products queryable via MCP, GraphQL, and SQL.
- **Zero-trust governance**: element-level access controls enforced *before* any AI model touches data; a hybrid of public LLMs and localized, self-trained Small Language Models (SLMs) keeps proprietary data locked down.
- **Huckleberry modules**: Headwaters (data virtualization & products), Doc (AI agent), Wyatt (interchange network & governance), Vista (data apps & observability).

## Core pages
- [Platform](https://didati.com/platform.html): How Huckleberry works — modules, federated query, governance, and deployment options.
- [Comparison](https://didati.com/compare.html): How Didati differs from centralized data management (Databricks, Snowflake, the central lakehouse) — virtualize-in-place vs. centralize-first, zero ETL, decentralized governance, and "better together" coexistence.
- [About](https://didati.com/about.html): Didati's mission, team, and belief in making companies truly data-enabled.
- [Insights](https://didati.com/insights.html): Articles on data interoperability, AI enablement, and enterprise data architecture.

## Insights / articles
- [Taming the Data Frontier](https://didati.com/blog-frontier.html): Why the enterprise needs governed "law and order" for AI, and how Huckleberry provides it.
- [Vista: Sequence Modeling & Strategic Rollout Analytics](https://didati.com/blog-vista-telco.html): Modeling telecom buildout execution pipelines to compress the time between capital deployment and customer activation.
- [Wyatt: Intelligent Parsing & Structural Governance](https://didati.com/blog-wyatt-telco.html): Decomposing unstructured legacy documents and regulatory mandates into compliance-ready governance models.
- [Headwaters: Real-Time Data Virtualization & Truth-Mapping](https://didati.com/blog-headwaters-telco.html): Turning fragmented, multi-generation telecom architectures into business-aligned Data Products without migration.
- [Huckleberry: Data Security Without Compromise](https://didati.com/blog-security-telco.html): Post-quantum trust layer and element-level security enforced before any AI query touches subscriber data.
- [Huckleberry: Zero to Live in Under 10 Minutes](https://didati.com/blog-deployment-telco.html): Instant virtualization of an existing telecom environment — no migration, no pipelines, no manual ETL.
- [Elevating NPS: Eliminating Customer Experience Friction](https://didati.com/blog-nps-telco.html): Why NPS is a churn and revenue indicator for Tier 2–4 operators, and how to remove the friction behind it.
- [Huckleberry: Spotlight on Telco](https://didati.com/blog-telco.html): Unified data & intelligence enablement for midmarket telecommunications.
- [Today's Data Crisis](https://didati.com/blog-data-crisis.html): The cost of centralize-before-you-analyze, and a decentralized alternative.
- [De-Risking Federal Capital Deployment](https://didati.com/blog-federal.html): Turning federal BEAD compliance overhead into automated, risk-free workflows.
- [Telco: Customer Churn](https://didati.com/blog-retention.html): Turning siloed telco data into a proactive churn-mitigation engine.
- [Telco: ROI](https://didati.com/blog-telco-roi.html): Data as a strategic weapon for capital efficiency in mid-market telcos.
- [Common Questions](https://didati.com/blog-faq.html): FAQs on data sovereignty, security, and getting started.

## Contact
- Email: contact@didati.com
- LinkedIn: https://www.linkedin.com/company/didati