Reasons over a governed semantic layer, not raw SQL
Metrics like revenue, MRR, and active users defined once, centrally. Consistent, trustworthy answers, never confidently wrong.
Permissions enforced for every user
Row-level and column-level security built in, not bolted on.
Multilingual & locale-aware
Ask in English, Hindi, Tamil, and more. Locale-aware number, currency, and financial-year formatting, with rupees in lakh/crore and India's April–March year where needed.
Affordable by design
Runs on cheap infrastructure with tiered AI model routing; priced for SMBs, not enterprise budgets.
Tally, Zoho Books, and GST on the roadmap.
Who it's for: Trusted by SMBs & startups who want answers from their data without hiring a data team.
Natural-language analytics: how to query your data without SQL
How asking your data questions in plain language works, and why a governed semantic layer beats naive text-to-SQL.
How to reduce LLM hallucinations in enterprise AI
Why a governed semantic layer with defined metrics keeps Gist's answers consistent and trustworthy.
What is RAG, and how does it work?
The grounding technique behind trustworthy, source-aware AI answers.