Ask any question, get accurate answers & analytics from your enterprise databases. No semantic modeling, no upfront work, no data sent to the LLM. Transforms are published to a governed repository in data pipeline form, ready to be validated, reused, and promoted to production.
01 · ACCURATE
On-demand accuracy,
zero setup
- No semantic layer required; automated context from your existing database
- User query + database schema = accurate transforms, first time
- Generate analytics pipelines, synthetic data, instant clones, and subsets on demand
- Cleanse, mask, normalize, and aggregate, without upfront data preparation
02 · TRUSTED
Designed for
human review
- Transforms rendered as transparent pipelines; not opaque SQL or Python
- Any analyst can review, validate, and sign off; no coder required
- Review → Run → Repeat. Validated transforms persist into a trusted transform repository
- Promote from dev to production with a full audit trail
03 · GOVERNED
Enterprise grade
data governance
- Column-level PII authorization per user and role
- Token usage visibility and controls
- LLM interactions compliant with enterprise data policies
- SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery, and more
For Windocks database cloning with Docker containers go
Explore our capabilities
Automated database context
LangGrant automatically delivers complete database context for LLMs to comprehend multiple databases simultaneously at scale. Like a skilled engineer, once an LLM understands databases it can contribute to solution design.
Micro data lakes on demand
LangGrant binds LLMs to create accurate analytic plans for user queries, resulting in a inference ready “micro data lake.” Plans are saved, easily validated and modified, and run to deliver the analytic data within minutes of the user query.
Governance
PII safeguards, authorization controls, data residency rules, firewall restrictions, and token-governance policies are built-in by design. No sensitive data leaves governed systems.
Plan management
LLM generated plans are saved, easily reviewed and validated, modified, and executed, for LLM use that is transparent, explainable, and repeatable.
Database cloning and containers
On demand database clones with containers provide Agent developers with production database copies (with optional masking) for agentic AI dev/test.
Database subsetting and synthetic data
Database subsetting with synthetic data provides added context for working with complex multi-database environments.
Gartner analysis
Windocks included as key vendor in Gartner report
Windocks (now LangGrant) was included in Gartner’s recent report “Emerging Tech Impact Radar: Data and Analytics.” The renowned consulting firm named Windocks as a key vendor in the tabular and synthetic data.
UP CLOSE
Bloor analyst report on test data management
Bloor described Windocks as “an up-and-coming database virtualisation vendor that it looks like might be poised to shake up the space.”
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