Enterprise Data AI — Semantic Layer
Themis – Agentic Data Quality & Governance
A multi-layered Data Quality Operating System that bridges raw data and trusted business intelligence — with governance, rules, and compliance built in from day one.
Justice for your data. Order for your enterprise.
Most organizations don’t have a data problem. They have a data trust problem. And the tools they’re using were never designed to solve it.
Quality rules are duplicated across every pipeline with no reusable contracts. Every new dataset means starting from scratch — and every rule change means touching a dozen places at once.
Hardcoded rules without historical baselines can't detect when your data quietly shifts over time. By the time you notice, the damage is already downstream in your reports, your models, your decisions.
Validation failures land as "Regex mismatch" or "Null constraint violation." Nobody in the business can act on that. The gap between the error and the business impact stays invisible.
Rules, profiling metrics, and contextual metadata disappear between runs. Every execution starts cold. The institutional knowledge your team builds around data quality exists only in people's heads.
Themis AI operates across three layers simultaneously — each one doing what the others can’t.
Fast, transparent execution of fundamental rules that run on every dataset, every time — no exceptions. The non-negotiable control floor before intelligent analysis begins.
Behaves like a senior data analyst — finding what you didn't know to look for. Specialized agents mine hidden behavioral patterns, infer semantic meanings, and explain anomalies in plain business language.
Every approved rule becomes a versioned, reusable enterprise asset. System memory stores context, manages rule lifecycle, and turns approved findings into policies that compound over time.
Seven quality dimensions, scored live. Completeness, Uniqueness, Validity, Timeliness, Accuracy, Consistency, Exploratory — every dataset profiled across every axis. The amber and red scores aren't failures; they're exactly what Themis AI is built to surface and fix.
These aren’t features. They’re architectural decisions that determine whether a data quality system scales — or collapses under its own weight.
The observed fact (12% null rate) never gets mixed with the rule or the execution result. Auditability requires that separation.
No monolithic all-in-one LLM. Multiple focused agents — Intake, Profiling, Semantic Labeling, Rule Mining — each with a single responsibility.
Agents propose and explain. Actual validation executes deterministically via Python/pandas — reliable, fast, repeatable. Every time.
AI suggestions don't become policy without steward review. Approved rules become versioned, reusable contracts. Nothing is automatic truth.
Not every check runs every time. Dynamic logic runs minimum controls always, while intelligent discovery wakes only when needed.
Every failed validation includes full context: failing counts, percentages, data samples, root-cause hints, and suggested remediation paths.
Governed merging in action. Upload → Detect Differences → Apply & Version. Every dataset change is tracked, compared, and versioned automatically.
Deterministic validation, agentic intelligence, and human governance – integrated into a single sequential flow that compounds value with every run.
Reads input files, detects encoding and delimiters, normalizes headers, and captures full metadata context.
Computes structural and statistical distributions, infers datatypes, and flags obvious anomalies immediately.
Always-on deterministic checks via Python/pandas — schema validity, nulls, duplicates, typing. No exceptions.
Agents analyze hidden behavioral patterns, infer semantic meanings, and mine candidate business rules.
Framework compiles semantic labels, rule candidates, threshold recommendations, and severities into a unified pack for review.
Data stewards review AI-generated proposals — accept, reject, or adjust thresholds — before promoting to active policies.
Approved checks, semantic mappings, metric histories, and dataset fingerprints stored for reuse across every future run.
Engine intelligently executes recurring runs with wake/sleep optimization logic — compound value, minimal compute waste.
Comprehensive scorecards, business-readable narratives, drift alerts, and actionable failed row extracts — automatically.
Datasets organized by initiative, team, or domain. Each project tracks quality independently and accumulates a full history of runs — giving leadership a live view of data health across the entire enterprise.
Themis AI is built for the leaders who own the data problem — and the consequences when it’s wrong.
Themis was the Greek titaness of justice, order, law, and balance. We named this platform after her because your data deserves the same standard: governed by rules, enforced consistently, with full transparency on every decision. No exceptions. No workarounds. No silent failures.
Most organizations don’t know what’s wrong with their data until it’s already wrong in production. One dataset. One session. Full transparency on what your current tools are missing.
By signing up for the waiting list now, you'll secure your spot for early access and claim these valuable benefits.