Data integrity for AI
Remove discrepancies before they reach your LLMs.
Avelon AI reconciles conflicting data across your sources, so the context you feed into large language models is consistent, traceable, and trustworthy.
Bad data in. Confused answers out.
LLMs are only as reliable as the context they receive. When your CRM, warehouse, and product databases disagree — on a customer status, a revenue number, or a product name — the model has no way to know which version is true. Avelon AI detects, resolves, and validates those discrepancies before the prompt is ever sent.
Why Avelon
Cut token spend
Sending duplicate, stale, or conflicting fields to an LLM burns tokens and adds noise. Avelon trims context to only verified, discrepancy-free information — so you spend less and get sharper answers.
Works with any LLM or app
Avelon is model-agnostic and app-agnostic. Clean context flows straight into the tools your team already uses.
Humans control ground truth
Every discrepancy is surfaced for human review. Your team defines the rules and has the final say — AI never overwrites authoritative data without approval.
How it works
- 01
Connect
Link your data sources, APIs, and warehouses. Avelon maps the same entities across systems without moving the underlying data.
- 02
Detect
We continuously flag conflicts, stale values, schema drift, and semantic mismatches that would otherwise pollute your retrieval context.
- 03
Resolve
Conflicts are resolved using source-of-truth rules, confidence scoring, and human review — then delivered as clean, versioned context for your LLM pipeline.
Get early access
Join the waitlist to be the first to use Avelon AI with your team.
Prefer to email? Reach us at info@avelonai.com.