Manual code translation is repetitive, error-prone, and never keeps up with new values. gridmap uses AI to suggest mappings instantly, delta sync to catch new values on a schedule, and a lookup API to serve results to your pipelines — so your team spends minutes reviewing instead of hours mapping.
Free tier available. No credit card required.
The real cost
When new source codes arrive and nobody maps them, reports show blanks, pipelines fail, and the investigation takes longer than the actual fix. AI mapping closes that loop before anyone notices.
Translating codes between systems is often repetitive. The same patterns come up again and again — the kind of work that benefits most from automation.
With many values to map, small inconsistencies are natural. AI suggestions help keep mappings consistent across the board.
Source systems add new codes regularly. Keeping up means someone has to notice, look them up, and map them — or automate that process.
How many values are unmapped? Which definitions need attention? Having a clear overview makes it easier to stay on top of things.
How it works
Link to Snowflake, SQL Server, BigQuery, PostgreSQL, Microsoft Fabric, Databricks, or any supported source. Credentials are encrypted at rest.
gridmap analyzes your source values and suggests the correct target mappings. Configure custom instructions and confidence thresholds to match your domain.
Schedule incremental syncs — hourly, daily, or weekly. New source values are detected automatically and queued for AI mapping or manual review.
Your data pipelines, ETL tools, and applications query the lookup API for real-time mapping results. Always consistent, always up to date.
AI capabilities
gridmap uses large language models to understand the meaning of your data, not just the text. It handles abbreviations, misspellings, and domain-specific terminology.
Choose between Anthropic, OpenAI, or Google AI. Switch providers anytime without losing your mapping history.
Set minimum confidence scores. High-confidence mappings are auto-approved. Lower scores are flagged for human review.
Tell the AI about your domain, naming conventions, and edge cases. It learns your specific mapping patterns.
Cron-based scheduling for sync and AI mapping. Chain operations: sync finishes, AI runs automatically.
Map composite keys across multiple columns. Handle complex scenarios like region + product code → target account.
Single lookups, batch queries, and reverse lookups. API keys with per-key access control for your pipelines.
Time well saved
Teams that automate their mapping workflow typically save hours every month — time that goes back to higher-value work instead of repetitive code translation.
AI mapping included from the Basic tier. Start free to explore.
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Common questions
What data managers and BI teams ask about AI-assisted mapping before getting started.
AI mapping analyzes your source values — codes, labels, identifiers — and suggests the correct target values based on meaning, not just string matching. It understands abbreviations, domain-specific terminology, and common patterns. Instead of someone manually looking up every code, the AI proposes the mapping and your team reviews and approves.
Accuracy depends on the quality of the source data and how well the target value set is defined. For common code mappings — country codes, status values, product categories — accuracy is typically above 80%. You can set confidence thresholds so high-confidence suggestions are auto-approved and lower ones are flagged for human review.
Yes. You can provide custom instructions that tell the AI about your domain, naming conventions, and edge cases. For example: "EMEA means Europe, Middle East, and Africa. SWE maps to Sweden. Use the target value set provided." The AI incorporates your context when generating suggestions.
Delta sync automatically detects new source values from your connected databases on a schedule. When a new value appears, it is queued and the AI runs immediately to suggest a mapping. Your team gets a notification and can approve, adjust, or reject the suggestion. Nothing is silently dropped or left unmapped.
You control this. High-confidence suggestions above your threshold can be auto-approved. Suggestions below the threshold are queued for human review. You always have the option to review everything manually if your data or compliance requirements demand it. The AI saves time — your team stays in the loop.
gridmap supports Anthropic (Claude), OpenAI (GPT), and Google AI (Gemini). You can switch providers at any time without losing your mapping history. Bring your own API key.
For each mapping definition, you set a minimum confidence score (for example, 0.85). When the AI processes a value, it returns a confidence score alongside the suggestion. If the score meets the threshold, the mapping is auto-approved. If not, it is flagged for manual review. This lets you balance automation speed against accuracy risk.
Connect your first database and see AI suggestions in minutes. Free tier, no credit card required.