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 names Windocks (now LangGrant) as key vendor for Machine Learning synthetic data
Windocks (now LangGrant) was included in Gartner's recent report "Emerging Tech Impact Radar: Data and Analytics." The renowned consulting firm named the firm as a key vendor in the tabular and synthetic data.
Windocks (now LangGrant) covered by Bloor Research in Test Data Management
Find out how Bloor describes LangGrant as "an up-and-coming database virtualization vendor that it looks like it might be poised to shake up the space."
