MATII Data & AI Platform

Put your data to work.

MATII Data & AI enables organizations to connect their data, understand it, analyze it, build AI applications on top of it, and put those applications into production under enterprise security and governance.

Illustration of an integrated data and AI platform

The complete product portfolio

Nine products. One connected platform.

Explore every layer: data integration and governance, analytics and machine learning, model serving and AI applications, all brought together in MATII Studio.

Showing 9 products: All products.

MATII / 01

Data Integration

MATII Connect

Connect data from databases, APIs, files, applications, and streaming systems.

Database connectorsLive pipelinesCDC
MATII Connect: Data Integration concept illustration
Explore all capabilities
  • PostgreSQL, MySQL, SQL Server, and other database connectors
  • REST APIs and webhooks
  • CSV, Excel, JSON, Parquet, and document ingestion
  • Batch and incremental synchronization
  • Change data capture (CDC)
  • Streaming ingestion
  • Scheduled pipelines and retry handling
MATII / 02

Data Storage & Processing

MATII Lakehouse

Store and process large volumes of structured and unstructured data.

Open storageSQLIceberg
MATII Lakehouse: Data Storage & Processing concept illustration
Explore all capabilities
  • Data lake and lakehouse storage
  • Object storage integration
  • Open table formats such as Apache Iceberg
  • SQL query engines
  • Batch transformation and distributed processing
  • Data retention and lifecycle policies
  • Separate raw, cleaned, and curated data zones
MATII / 03

Metadata & Governance

MATII Catalog

Help organizations discover, understand, trust, and govern their data.

DiscoveryLineageAccess policies
MATII Catalog: Metadata & Governance concept illustration
Explore all capabilities
  • Searchable data catalog
  • Business glossary and technical metadata
  • Dataset ownership and classification
  • Data lineage and dependency tracking
  • Data quality rules and profiling
  • Sensitive-data discovery
  • Access policies, retention, and audit trails
MATII / 04

BI & Decision Intelligence

MATII Analytics

Turn governed data into useful business information.

DashboardsNatural-language SQLForecasting
MATII Analytics: BI & Decision Intelligence concept illustration
Explore all capabilities
  • SQL workspace and query editor
  • Interactive dashboards and reports
  • KPIs and scheduled reporting
  • Business metrics and semantic models
  • Natural-language-to-SQL assistance
  • Forecasting and anomaly detection
  • Report sharing with permission controls
MATII / 05

Knowledge Graph & Search

MATII Knowledge

Organize relationships across enterprise data and documents.

Knowledge graphsHybrid searchRAG
MATII Knowledge: Knowledge Graph & Search concept illustration
Explore all capabilities
  • Entity and relationship modeling
  • Knowledge graph construction
  • Full-text and semantic search
  • Vector search and hybrid retrieval
  • Document chunking and metadata enrichment
  • Entity resolution and deduplication
  • Retrieval augmented generation (RAG)
MATII / 06

Machine Learning Platform

MATII ML

Build, train, evaluate, and deploy predictive models.

ExperimentsModel registryDrift detection
MATII ML: Machine Learning Platform concept illustration
Explore all capabilities
  • Experiment tracking
  • Dataset and model versioning
  • Model registry
  • Training job orchestration
  • Feature engineering and reusable feature stores
  • Batch and real-time inference
  • Model evaluation, drift detection, and monitoring
MATII / 07

Model Serving & AI Gateway

MATII Models

Make AI models accessible through consistent, secure APIs.

AI gatewayModel routingUsage metering
MATII Models: Model Serving & AI Gateway concept illustration
Explore all capabilities
  • Hosted open-weight model inference
  • External model-provider integrations
  • Unified model gateway
  • Embedding and reranking APIs
  • Model routing and fallback policies
  • Rate limits, quotas, and usage metering
  • Latency, token usage, and cost tracking
MATII / 08

AI Applications & Automation

MATII Agents

Build AI assistants and agents that perform useful, permission-controlled work.

AI assistantsTool callingHuman approval
MATII Agents: AI Applications & Automation concept illustration
Explore all capabilities
  • Visual agent and workflow builder
  • Knowledge-base assistants
  • Tool and API integrations
  • Multi-step workflow execution
  • Human approval checkpoints
  • Conversation and execution tracing
  • Evaluation, versioning, and deployment
MATII / 09

Unified Workspace

MATII Studio

Bring data engineers, analysts, data scientists, and AI developers together.

NotebooksCollaborationDeployments
MATII Studio: Unified Workspace concept illustration
Explore all capabilities
  • Projects and collaborative workspaces
  • Visual pipeline builder
  • SQL and notebook environments
  • Dataset exploration
  • Model and agent deployment
  • Shared permissions and secrets integration
  • Central monitoring and usage dashboards
Explore the tools & technologies
  • Python
  • PyTorch
  • vLLM
  • Hugging Face
  • LangChain
  • Qdrant
  • Apache Spark
  • Delta Lake
  • Snowflake
  • Docker
  • FastAPI
How we work

A clear path forward.

  1. 01

    Find the use case

    Review your data and choose a problem where AI can make a useful difference.

  2. 02

    Prove the approach

    Test a focused prototype for accuracy, usefulness, and safety.

  3. 03

    Build for production

    Connect data pipelines, deploy models, and validate the complete workflow.

  4. 04

    Evaluate & improve

    Monitor output quality and refine the system as your data and needs evolve.

A little more clarity

Good questions.
Clear answers.

Talk to our team
Is our proprietary company data used to train public AI models?

Never. All AI pipelines, RAG systems, and fine-tuned models run inside your private, isolated virtual private cloud (VPC) with strict zero-retention API contracts.

Can your AI agents safely interact with our existing internal APIs?

Yes. Our autonomous agent frameworks execute tool calls inside sandboxed environments with strict schema validation, deterministic fallback logic, and human approval gates.

How do you evaluate and prevent hallucinations in production RAG systems?

We deploy multi-stage verification pipelines including citation attribution checks, ground-truth hallucination scoring, and cross-encoder re-ranking before delivering answers to users.

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world map

Our Global Presence

Connecting businesses with engineering expertise through our international network.

United States

Americas Hub

New York, NY

New York, United States

EST · UTC-5

United Kingdom

EMEA Hub

London

London, United Kingdom

GMT · UTC+0

Poland

European Engineering

Warsaw

Warsaw, Poland

CET · UTC+1

Ethiopia

Headquarters

Addis Ababa

Addis Ababa, Ethiopia

EAT · UTC+3
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