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Dataqrypt

Capabilities

What we do — Core Capabilities

The disciplines behind trusted intelligence.

Four deep, connected capabilities — engineering intelligent data for AI across structured and unstructured sources, and keeping it trusted in production.

AI Engineering

Designing and building production-grade AI — assistants, agents, and GenAI applications engineered for accuracy, security, and scale.

LLM application & agent development

Retrieval & grounding on the Knowledge Layer

Prompt, evaluation & guardrail engineering

Model selection & platform integration

Manufacturing · Energy · Logistics · Utilities

Data Engineering

Building the modern data foundation — lakehouse platforms, pipelines, and transformations that make all enterprise data AI-ready.

Lakehouse architecture & build

Batch & streaming data pipelines

Data transformation & modeling

Structured & unstructured data preparation

Manufacturing · Energy · Logistics · Utilities

Data Governance

Making intelligence trustworthy — the definitions, quality, lineage, and policies that let the enterprise rely on its data and its AI.

Business glossary, ontologies & metadata management

Data quality & lineage

Access, privacy & policy management

Responsible AI & compliance frameworks

Manufacturing · Utilities

AI Ops

Keeping data and AI reliable in production — monitoring, optimizing, and operating the platforms, pipelines, and models the business depends on.

MLOps & LLMOps — deployment, monitoring, evaluation

DataOps — pipeline reliability & observability

Cost & performance optimization

Managed operations & continuous improvement

Manufacturing · Logistics

How Dataqrypt Is Innovating

Building the next wave of reasoning engines.

Most AI today retrieves. The next wave reasons — grounded in real context, explainable in its logic, and built for the specific way an industry actually operates. That’s the frontier we’re building toward.

Grounded Reasoning

Agents that explain why an answer is right, not just retrieve the nearest match.

Domain-Native Intelligence

Reasoning built around how a specific industry actually works, not a generic prompt layered on top of generic data.

Trust & Governance at the Core

Reasoning you can audit and govern, not a black box you have to take on faith.

Composable Across Platforms

Built to work with the AI and data stack you already run — not to replace it.
 
THE DATA ESTATE

Lakehouse platforms

design & build

Pipelines & integration

batch & streaming

Transformation & modeling

business-ready data

Unstructured content

documents, email, knowledge

Governance & quality

trust by design

OUR PIVOT

Enterprise Intelligence Layer

Ontologies · Knowledge Graph
· Semantic Layer

AI AGENTS & APPLICATIONS

Transformation & modeling

business-ready data

AI assistants

grounded in your knowledge

Analytics & decisions

trusted, consistent insight

Document intelligence

content that answers back

Intelligent automation

AI-driven workflows

Ready to build your Enterprise Intelligence Layer?

Bring all four capabilities to your data and AI initiatives with one accountable partner.