AI & Data Services for
Financial Services

From agentic systems and LLM integration to data engineering and expert staffing — we deliver Gen AI from discovery to production on the Databricks Lakehouse.

Start a projectHow we work

What We Build

Four service lines. One integrated delivery model.

Agentic Systems

Autonomous AI workflows that reason, act, and learn

We design and build multi-agent systems that orchestrate complex business processes end-to-end. From claims triage to trade surveillance, our agents combine tool use, reasoning, and human-in-the-loop controls for production-grade autonomy.

Databricks Agent BricksAI GatewayAI FunctionsMCPMLflowUnity Catalog

Capabilities

Multi-Agent Orchestration

Agent Bricks supervisor pattern with specialized agents for each task

Guardrails & Compliance

AI Gateway guardrails, payload logging, and Unity Catalog governance

AI Functions Integration

ai_parse_document, ai_classify, ai_extract, ai_query — native on Databricks

MCP Protocol

Model Context Protocol for secure, standard tool integration

LLM Integration & AI Engineering

Production-ready language models on your infrastructure

We integrate foundation models into your data stack — from RAG pipelines and document intelligence to fine-tuned domain models. Everything runs on Databricks with unified governance, so your AI is fast, accurate, and auditable.

Spark Declarative PipelinesVector SearchModel Servingai_parse_documentFeature StoreMLflow

Capabilities

RAG & Vector Search

Semantic retrieval over your proprietary data with Databricks Vector Search

Document Intelligence

ai_parse_document for PDFs, scans, images — no OCR pipeline needed

Model Serving & Batch Inference

AI Gateway for all models, ai_query for SQL/PySpark batch processing

Fine-Tuning & Evaluation

Domain-specific model tuning with MLflow Agent Evaluation

Data Engineering & Platform

The foundation that makes AI work

AI is only as good as the data behind it. We build modern data platforms on the Databricks Lakehouse — from ingestion to governance — so your AI workloads run on clean, governed, production-grade data.

Lakeflow ConnectSpark Declarative PipelinesLakeflow JobsDelta LakeUnity Catalog

Capabilities

Lakeflow Connect

Managed connectors for enterprise applications and databases

Spark Declarative Pipelines

Batch and streaming ETL with streaming tables and materialized views

Lakeflow Jobs

Workflow orchestration with DAGs, conditional logic, and monitoring

Unity Catalog Governance

Unified governance for data, models, functions, pipelines, and endpoints

Expert Staffing & Augmentation

Embedded senior engineers for time-bound delivery

When you need hands-on expertise, we embed senior AI and data engineers directly in your team. They own the build while your team owns the roadmap — then transfer knowledge so you are self-sufficient.

DatabricksPythonSparkLLM APIsMLOpsCloud (AWS/Azure/GCP)

Capabilities

Architecture Leadership

CTO-level AI/data architecture and delivery leadership

Senior AI Engineers

ML, MLOps, LLM integration, and agentic systems specialists

Data Engineers

Databricks, Spark, and Lakehouse platform experts

Knowledge Transfer

Runbooks, training, and upskilling for your internal team

How We Work

Choose the engagement model that fits your stage.

Discovery Sprint

2-4 weeks

Identify high-impact use cases, assess data readiness, and produce a prioritized roadmap with architecture recommendations.

Pilot Build

8-12 weeks

Build and deploy a production-ready pilot for one use case — from data pipeline to serving endpoint with evaluation.

Production Scale

12-16 weeks

Expand from pilot to full production: multi-agent workflows, monitoring, CI/CD, and organizational rollout.

Staff Augmentation

Flexible

Embed senior engineers in your team for ongoing delivery. Monthly rolling engagements with knowledge transfer milestones.

Why Databricks

One platform for data, AI, and governance.

Lakeflow

Connect + SDP + Jobs for end-to-end data engineering

AI Gateway

Access all models (Claude, GPT-4o, Llama, Gemini) from one endpoint

AI Functions

ai_query, ai_parse_document, ai_classify — SQL-native AI

Unity Catalog

Govern data, models, functions, pipelines, and endpoints

Agent Bricks

Multi-agent orchestration with supervisor pattern

MLflow

Agent evaluation, tracing, and monitoring

Built for Your Sector

Sector-specific use cases, guardrails, and compliance patterns.

Insurance93% still process claims manuallyExplore use cases
Banking80% cite compliance as top challengeExplore use cases
Capital Markets60%+ analyst time on data gatheringExplore use cases

Ready to operationalize Gen AI?

Start with a 2-week discovery sprint. We will identify your highest-impact use case and build a production-ready roadmap.

Book a discovery callRead our insights