Unify every enterprise data source.
Syntropia is an AI system that understands data structurally and operates on it autonomously - resolving entities, fixing anomalies, and reconciling sources in seconds, not months.
Two ways to fix enterprise data. Both failing.
Enterprises throw people or raw LLMs at the problem. One is unaffordable; the other hallucinates. Neither scales - and the gap is widening.
Teams reconciling data by hand
Engineers manually translating and validating data across disconnected systems. 61% of the spend goes to fixing broken schemas - not building anything new.
AI that confidently invents data
Bolting general-purpose LLMs onto structured data compounds the problem. With no grounding, they hallucinate values that look plausible and cost millions.
Apps per enterprise
Only 28% integrated - 72% remain isolated data islands.
Burnout
70% of data engineers plan to leave within 12 months.
YoY demand
90% of organisations face critical talent shortages by 2026.
Fail
MDM programmes fail 75% of the time; migrations overrun 83%.
Your AI is only as good as your data. Today only 7% of enterprise data is AI-ready - which is why most AI initiatives stall before they deliver. Clean, connected data is the prerequisite, and it is exactly what Syntropia gives you.
One system. Every messy-data problem.
The same engine, applied across the autonomous pipeline. Scroll to watch each capability work.
It knows when six records are the same company.
Different names, different codes, sometimes no name at all. Syntropia recognises the underlying entity by structure and statistical fingerprint - zero-shot, no rules, no labels.
Different column names. Same meaning.
"Customer_ID" and "client_name" look nothing alike - but they identify the same thing. Syntropia aligns columns by what they mean, not what they’re called.
It catches the value that doesn't belong.
Across millions of rows, one transaction looks valid but breaks the entity’s behavioural pattern - no vendor history, unknown sector, off-cycle timing. Syntropia flags cross-column anomalies that rules can’t see.
87% anomaly - the amount is fine, but 4 of 5 behavioural signals are abnormal.
Free your data team to build, not firefight.
Your team’s time is too valuable for manual data cleanup. Syntropia automates the repetitive work - resolving, matching, and reconciling - so your engineers spend it on what actually moves the business. API-first, pay by volume, live in minutes.
Brilliant engineers stuck reconciling sources, fixing schemas, and chasing anomalies by hand - repetitive work that never ends and wears good people down.
The repetitive resolution and reconciliation runs itself, around the clock. Your team focuses on modeling, analysis, and building - and your data ops scale without piling on headcount or burnout.
The payoff: the impact of a much larger team, without the added headcount - your engineers freed for high-value work, and data operations that scale with the business instead of against your budget.
Stop reconciling data by hand.
Let it clean itself.
See Syntropia resolve, match, and audit your own data - grounded and explainable, in minutes.