Services
What we build. What changes.
You do not need a menu. You need the right intervention.
WHAT WE BUILD

FROM ZERO
Your data foundation isn't built for what comes next.
We design the warehouse, pipelines, orchestration, and modeling layer that gives your company a real platform to build on.
- Production-ready data platform with clear ownership boundaries
- Architecture that scales with your growth, not just your current load
- Runbooks and handoff so your team operates it independently
Typical Deliverables
Snowflake/BigQuery warehouse, dbt layer, Airflow orchestration, Terraform IaC
Timeline
Assess (2 wks), build (2-4 mo), stabilize + handoff (1 mo)
You're a Fit If
You have no data platform, or your current setup won't survive the next stage of growth

MODERNIZE
Legacy systems are slowing everything around them.
We migrate brittle systems to modern cloud-native infrastructure and put automated quality checks in place so your team stops firefighting.
- Clean migration from legacy to modern cloud with minimal disruption
- Automated data quality monitoring and alerting
- Reduced operational burden and faster time to insight
Typical Deliverables
On-prem to cloud migration, batch ETL to streaming, dbt + BI layer
Timeline
6-16 weeks depending on scope
You're a Fit If
You're running on-prem, manual ETL, or systems nobody wants to touch

PRODUCTION ML
Your models are not the problem. Production is.
We build the production ML infrastructure so your data science team can ship reliably and iterate without rewriting everything.
- Production ML pipelines with monitoring and automated retraining
- Feature store and model registry for reproducibility
- MLOps workflow that removes engineering bottlenecks
Typical Deliverables
SageMaker/MLflow pipelines, model serving, A/B testing framework
Timeline
8-16 weeks for core MLOps infrastructure
You're a Fit If
Your data science team builds models that never make it to production

APPLIED AI SYSTEMS
AI enthusiasm is high. Useful systems are rare.
We design and ship internal AI systems that save real time, support real workflows, and hold up under real scrutiny.
- Agent workflows tied to actual team processes
- Context and eval layers that make outputs usable
- Human review where it matters, automation where it pays
Typical Deliverables
Custom agent systems, orchestration pipelines, eval frameworks, human-in-the-loop automation
Timeline
4-12 weeks for initial systems, iterative expansion
You're a Fit If
Your team is experimenting with AI but nothing has stuck in production

DATA TRUST
When nobody trusts the numbers, nothing moves.
We establish a single source of truth with governance, lineage tracking, and documentation your team can maintain.
- Unified metric definitions across the organization
- Data lineage and quality monitoring across all pipelines
- Governance framework your team maintains without us
Typical Deliverables
Data catalog, lineage tracking, quality scoring, dbt docs, data contracts
Timeline
6-12 weeks for governance framework
You're a Fit If
Different teams report different numbers and nobody trusts the dashboards
HOW WE ENGAGE
Three models. Pick what fits.
Embedded · 3-12 Months
A fractional data and AI leader, starting now.
You need senior data and AI leadership now, not after a search process. We embed, set direction, stabilize delivery, and hand the function over cleanly.
What You Get
- Architecture, AI roadmap, and technical strategy
- Operating model, AI prioritization, and role definitions
- Monthly executive alignment
- Clean handoff with exit criteria
Choose This When
You need a data and AI leader but can't wait 6 months to hire one.
Scoped · 4-16 Weeks
A defined problem. A defined scope.
You know what needs building. We scope it tightly, ship it to production, and get out.
What You Get
- Fixed scope and timeline, agreed upfront
- Working system in production
- Documentation and training for your team
- No surprises on budget
Choose This When
You have a specific project: migration, platform build, pipeline redesign, or governance framework.
Ongoing · Monthly
A senior operator on the hard decisions.
An experienced architect for design reviews, vendor decisions, and the calls your team is not sure about.
What You Get
- 2-4 scheduled calls per month
- Async Slack/email for quick questions
- Architecture and design reviews
- Vendor evaluations with no sales agenda
Choose This When
You have a team but want a trusted outside perspective on the hard decisions.
Not sure which model fits?
Most clients start with a conversation. We'll help you figure out the right scope.
Get in Touch