Intelligence, engineered from the ground up.

Sovereign models to agentic workflows. Open-source foundations to enterprise-grade orchestration. Every layer chosen with intention.

Trusted By :

The models we build on. Chosen for your environment.

We work across proprietary, enterprise, sovereign, and open-source models so every solution can match your performance, compliance, cost, and deployment needs.

OpenAI

GPT-4o / o3

Flagship reasoning and multimodal. Best for complex agent tasks, document intelligence, and code generation.

Anthropic

Claude 3.5 / Sonnet

Exceptional at long-context reasoning, safety-critical applications, and nuanced instruction following.

Google

Gemini 1.5 Pro

Ideal for massive document corpora, multimodal analysis, and GCP-native deployments.

Azure

Azure OpenAI

Enterprise-grade OpenAI models within Azure tenancy with data residency, compliance, and VNET isolation.

Open-Source & Sovereign Models

How agents think, act, and collaborate.

DataTheta designs agentic systems that can plan, retrieve, reason, use tools, collaborate across agents, and produce auditable business outputs.
AI systems in production
0 +
Avg. time to first outcome
0 weeks
Forecast accuracy
0 %
Faster decision cycles
0 x
Revenue influenced by AI
$ 0 M+
Manual processing eliminated
0 %

The infrastructure intelligence runs on.

Modern AI needs trusted data infrastructure. We design the pipelines, orchestration, quality, observability, and vector systems that make intelligence production-ready.

CFO & Finance Copilot

Natural language queries over financial data. Variance analysis, commentary, and forecast updates — seconds, not hours.

Field & Ops Copilot

Maintenance history, fault codes, SOPs — surfaced in seconds on mobile. Built for the plant floor, not the office.

Sales Intelligence Copilot

Account health, pricing recommendations, and at-risk flags — briefed before every call, inside CRM, automatically.

Clinical Documentation Copilot

Prior auth drafting, clinical coding review, discharge summaries — embedded in Epic and Cerner workflows.

Regulatory Intelligence Copilot

Submissions, SOPs, and study reports — searchable in plain language with cited source references.

Process Automation Agent

End-to-end document processing, exception triage, and routing — read, reason, act, without a human in the loop.

AI where your people already work.

We embed intelligence inside the workflows, tools, and systems your teams already use.

Ingestion & Streaming

Apache Kafka, Apache Flink, AWS Kinesis, Google Pub/Sub, Debezium CDC, Airbyte, Fivetran

Storage & Lakehouse

Snowflake, Databricks, BigQuery, Amazon Redshift, Delta Lake, Apache Iceberg, Apache Hudi

Transformation

dbt Core, dbt Cloud, Apache Spark, SQLMesh, Trino, dbt Semantic Layer

Orchestration

Apache Airflow, Prefect, Dagster, Azure Data Factory, AWS Step Functions

Quality & Observability

Great Expectations, Monte Carlo, Soda Core, OpenLineage, Collibra, Alation

Vector & AI Data

Pinecone, Weaviate, Chroma, pgvector, Qdrant, Feast Feature Store, Tecton

The tools that power the build.

We select frameworks based on the use case, environment, governance needs, and delivery constraints.

Agentic Orchestration

LangGraph

Stateful multi-agent

CrewAI

Role-based agents

AutoGen

Agent-to-agent

LlamaIndex Workflows

Event-driven

AWS Bedrock Agents

Managed cloud

RAG & Retrieval

LangChain

Chain composition

LlamaIndex

Document ingestion

Haystack

Pipeline builder

Cohere Rerank

Semantic reranking

DSPy

Prompt optimisation

Agentic Orchestration

MLflow

Experiment tracking

Weights & Biases

Model monitoring

HuggingFace

Model hub + fine-tune

Axolotl / QLoRA

Efficient fine-tuning

Evidently AI

Drift detection

Deployment

AWS Bedrock

Managed LLMs

Azure OpenAI

Enterprise sovereign

Vertex AI

GCP native

Ollama / vLLM

Self-hosted

BentoML

Model serving

Evaluation & Safety

RAGAS

RAG evaluation

LangSmith

Trace & debug

Guardrails AI

Output validation

Giskard

LLM red-teaming

NeMo Guardrails

NVIDIA safety

Protocols & Integration

MCP

Tool connectivity

OpenAI Function Calling

Structured actions

Semantic Kernel

MS enterprise

A2A Protocol

Agent-to-agent

REST / gRPC / GraphQL

API layer

Technology FAQs

Answers to common questions about how DataTheta selects, designs, and deploys modern AI and data technology.
No. DataTheta is model-agnostic, cloud-agnostic, and framework-agnostic. We select the stack based on the client's environment, governance needs, use case, and delivery goals.
Yes. We work with cloud, hybrid, and on-prem environments, including Snowflake, Databricks, BigQuery, Redshift, lakehouse architectures, and existing enterprise systems.
Yes. We support proprietary, enterprise, open-source, and sovereign model deployments depending on data residency, security, performance, and cost requirements.
Yes. We design multi-agent workflows, orchestration layers, RAG systems, tool-using agents, and agent-to-agent collaboration patterns for real business workflows.
We build observability, evaluation, data quality, audit trails, access controls, and monitoring into production AI systems from the start.

The right stack for your environment.

We’re model-agnostic, cloud-agnostic, and framework-agnostic. We choose what works — not what’s fashionable.
hello@datatheta.com
Scroll to Top

DATATHETA

Welcome To Our New Website

Enterprise AI & Analytics