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From chaos to clarity.

AI-powered canonical data mapping at scale — transforming messy, unstructured text into clean, structured, actionable intelligence.

Why this problem exists — and why SKADI was created to solve it.

Modern organizations are drowning in messy, unstructured, inconsistent text. Product names, menu items, catalog entries, descriptions, SKUs—every pipeline is polluted with noise and endless variations. Manual cleanup doesn’t scale, rules break, and traditional NLP misses the long tail.

To address this, we built SKADI — a framework for turning chaotic text streams into clean, canonical, reliable data. SKADI is more than a name: it defines the core principles required to solve this problem at scale.

ScalableDesigned for high-throughput, real-time pipelines.
Knowledge-drivenUnderstands domain structure beyond simple rules.
Attribute-basedExtracts the meaningful signals hidden within noise.
Dynamic IdentificationResolves entities as they evolve, not as static entries.

Together, these principles form the foundation of SKADI’s approach to canonical data mapping — solving the core structural issues behind inconsistent, fragmented data.

What SKADI does.

SKADI turns scattered, inconsistent text into clean, canonical data you can rely on. High-volume streams, long-tail edge cases, and domain-specific complexity—handled automatically with speed and precision.

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Canonical Matching

Maps messy inputs to a structured master list, even when phrasing, formatting, or spelling vary widely.

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Attribute Understanding

Extracts and interprets meaningful attributes from unstructured text— recognizing patterns traditional tools miss.

Built for Scale

Processes data at high volume and low latency, keeping pace with real-world ingestion pipelines without manual intervention.

Why SKADI.

A new approach to canonical data mapping—one that adapts to your domain, scales with your data, and delivers accuracy without manual cleanup.

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High Precision

Resolves ambiguous, long-tail text with industry-leading matching accuracy.

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Scalable by Design

Handles millions of records effortlessly, keeping pace with real-world ingestion rates.

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Domain-Adaptive

Learns your domain’s structure instead of relying on brittle rules or manual tuning.

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Seamless Integration

API-first and pipeline-friendly—drop it into your existing workflows without friction.

Where SKADI excels.

Designed for industries where messy, high-variability text creates operational bottlenecks and unreliable insights.

🍽️ Hospitality & Menus

Normalize menu items, ingredients, and wine descriptions to power structured catalogs, search, and recommendation systems.

🛒 E-Commerce & Marketplaces

Canonicalize product titles and variants across vendors to improve discovery, deduplication, and inventory accuracy.

📦 CPG & Retail

Map disparate product names and formats to standardized SKUs for analytics, logistics, and forecasting.

💳 Finance

Resolve entities across customer records, legal entities, and transactions to reduce duplication and improve compliance workflows.

🧬 Healthcare

Normalize terminology, conditions, and treatment descriptions across disparate sources to enable clean clinical and operational data.

📊 Data Integrators & Platforms

Embed high-volume canonicalization into existing data pipelines, improving downstream machine learning and BI accuracy.

What makes SKADI different.

SKADI isn’t another rules engine or generic NLP tool. It’s a purpose-built system for canonical matching at scale—adaptive, precise, and designed for the realities of messy, high-variability data.

Domain-Adaptive Intelligence

Learns the structure of your specific domain instead of relying on brittle manual rules or inflexible global models.

Precision in the Long Tail

Handles messy phrasing, typos, rare variants, and edge-case terminology with high accuracy—where traditional systems break down.

Built for Real-World Scale

Processes millions of records quickly, integrating directly into data pipelines without slowing them down.

Clean Integration, Zero Overhead

API-first and infrastructure-friendly. No heavy setup, no complex deployment, no months-long implementation projects.

Built for teams who depend on reliable data.

SKADI is developed by engineers and researchers with deep experience in large-scale data systems, NLP, and high-throughput infrastructure. Designed for environments where accuracy, speed, and robustness matter.

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Secure by Design

Built with modern security and privacy standards.

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Enterprise-Ready

Reliable performance for production-scale workloads.

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Proven Expertise

Built by experts in data engineering and applied AI.

Start a conversation.

If your team is working with large volumes of messy, unstructured text, SKADI can help you unlock clean, reliable, canonical data. Use the form below to reach out for early access.

We typically respond within 24–48 hours.