Skip to content
Services

Six pillars of AI and data excellence.

Choose the capability you need. We scope the smallest practical path from problem to production.

Clear scope and deliverables Production-ready handoff See founder case studies
What you get

A practical engagement, not a slide deck.

Clear scope

A written plan, success criteria, and concrete deliverables.

Production build

Working systems designed for your environment and team.

Clean handoff

Documentation, evaluation, and knowledge transfer for your team.

AI Architecture
Documents Knowledge Base APIs
Embedding Vector DB Chunking
LLM (GPT/Claude) Prompt Engine
AI Assistant Search Automation
01 — Service

AI & Generative AI

Enterprise AI assistants, RAG pipelines, and document intelligence systems that integrate LLMs into your production workflows.

  • Enterprise AI assistants & copilots
  • RAG & knowledge retrieval
  • Document intelligence & extraction
  • LLM integration & fine-tuning
  • Workflow automation with AI agents
Discuss your AI project
02 — Service

Machine Learning

Prediction, recommendation, forecasting, and optimization models designed for production deployment — not just notebooks.

  • Predictive analytics & forecasting
  • Recommendation engines
  • NLP & text classification
  • Computer vision & image analysis
  • MLOps & model monitoring
Discuss your ML project
ML Pipeline
Raw Data Labels Features
Feature Engineering Validation
Training Evaluation Tuning
Deployment Monitoring Retraining
Data Platform
SAP Salesforce IoT CRM
Airflow / Dagster Kafka
dbt Models Quality Tests
Snowflake Analytics ML
03 — Service

Data Engineering

ETL/ELT pipelines, real-time streaming, data warehouses, and lakehouse architectures built to handle millions of records reliably.

  • Batch & streaming pipelines
  • Data warehousing & modeling
  • Data contracts & SLAs
  • Data quality & observability
  • Lakehouse architecture
Discuss your data platform
04 — Service

Cloud Platforms

AWS, Azure, and GCP architecture design, migration strategy, and infrastructure-as-code that your team can maintain and extend.

  • Cloud architecture & design
  • Migration & modernization
  • Infrastructure as code (Terraform)
  • Kubernetes & containerization
  • Cost optimization
Discuss your cloud strategy
Cloud Infrastructure
AWS
Azure
GCP
Terraform Docker K8s CI/CD Monitoring
Executive Dashboard
$2.4M
Revenue MTD
+18%
Growth YoY
4.2K
Active Users
99.7%
Uptime
Weekly performance trend
05 — Service

Business Intelligence

Executive dashboards, real-time KPIs, and self-service analytics that answer business questions in seconds.

  • Executive dashboards & KPI tracking
  • Power BI, Tableau, & Superset
  • Self-service analytics
  • Metrics layer & semantic models
  • A/B testing & experimentation
Discuss your BI needs
06 — Service

Data Strategy

Architecture design, governance frameworks, technology roadmaps, and modernization planning that aligns your data platform with business goals.

  • Platform architecture design
  • Governance & compliance
  • Technology roadmaps
  • Build-vs-buy analysis
  • Team & org structure
Discuss your data strategy
Strategy Framework
1
Assess current state & gaps
2
Define target architecture
3
Sequence & prioritize initiatives
4
Governance & team design
5
Execute & measure ROI

Ready to Modernize Your Data Platform?

Tell us about the problem. We'll come back with a focused proposal and a fixed-fee engagement that moves the needle.