Services
Production AI, sized to you.
The same engineering standard whether you're a Fortune 500 data organization or a five-person company automating its back office. Pick your track.
Track A
For Enterprise
Agentic platforms, ML pipelines, and distributed data systems — with the security, compliance, and reliability posture your review board expects.
Track B
For Small Business
Fixed-scope, fixed-price AI software and automation. Plain-English outcomes: hours saved, revenue enabled, headcount leverage.
Process
How we work
Diagnose
A short discovery sprint. We map your systems, data, and the one bottleneck worth attacking first.
Prototype
A working system against your real data — not a slide describing one.
Production
Hardened, monitored, evaluated. Security review, CI, and handover documentation included.
Operate
We stay on for evolution and measurement, or hand the keys to your team. Your call.
A working prototype in weeks — not a strategy deck in months.
Track A / Enterprise
Enterprise systems
Engagement model: a discovery sprint, then a fixed-scope build, then managed evolution. SOC 2–friendly practices; on-prem and VPC deployment available.
Agentic AI systems & LLM platforms
Retrieval, tool use, evaluation, and guardrails — agents designed to plan, act, and verify, not just generate. We treat evaluation as a first-class deliverable: you get the harness that proves the system works, not just the system.
What you get
- Production agent architecture with tool-use guardrails and audit trails
- Evaluation harness with regression suites against your real workloads
- Deployment on your cloud, your VPC, or on-prem
Representative stack
- Python
- TypeScript
- Claude / frontier LLMs
- Postgres + pgvector
- Kubernetes
- AWS / GCP / Azure
Machine learning pipelines & MLOps
Training, serving, monitoring, and retraining loops built for teams that need models to keep working after the launch demo — drift detection, lineage, and rollback included.
What you get
- End-to-end pipeline: ingestion → features → training → serving
- Observability: metrics, drift alarms, model registry, rollback
- Cost-tuned inference (GPU right-sizing, batching, caching)
Representative stack
- PyTorch
- Ray
- MLflow
- Airflow / Dagster
- Spark
- Terraform
Cloud data platforms & distributed systems
The foundation everything else stands on. We've built large-scale cloud platforms and distributed data systems inside Fortune 500 environments — we know what passes architecture review and what survives year two.
What you get
- Lakehouse / warehouse architecture with governed access
- Streaming and batch ingestion at scale
- Migration paths off legacy systems, with AI-accelerated modernization
Representative stack
- Snowflake / Databricks
- Kafka
- dbt
- Iceberg
- Kubernetes
- Terraform
Data migration, fidelity testing & quality assessment
Migrations are where data gets hurt. We run them as engineering, not events: staged cutovers backed by fidelity testing that proves the new system holds the same truth as the old one — and quality assessment that keeps it that way long after go-live.
What you get
- A staged migration plan: schema mapping, backfill, dual-run validation, cutover, and a rehearsed rollback
- Fidelity testing: row- and field-level reconciliation, checksums, and statistical parity between source and target
- Quality assessment: data profiling, anomaly detection, and quality gates wired into CI so regressions never reach users
- A reconciliation report your auditors can read
Representative stack
- Great Expectations / dbt tests
- CDC (Debezium + Kafka)
- reconciliation harness
- Airflow / Dagster
- Terraform
Track B / Small Business
Small business systems
Fixed scope, fixed price, plain outcomes. You should know what it costs and what it does before we write a line of code.
Websites: build, care & support
Our flagship subscription: we design and build your website, host and maintain it, keep it updated, and provide ongoing tech support — for one flat monthly fee. Includes SEO engineered for the AI era, so customers find you on Google and in AI answers.
What you get
- Design, build, hosting, SSL, backups, and security patches — included
- Content updates and new pages on request
- Ongoing tech support from a real engineer
- AI-era SEO: structured data, question-shaped content, citation tracking
AI readiness audit
The low-friction starting point. One week: we map your workflows, find where AI actually pays for itself, and hand you a prioritized plan — whether or not you build with us.
What you get
- Workflow map with automation opportunities ranked by ROI
- A build/buy recommendation for each opportunity
- A fixed-price quote for the top candidate
Workflow automation
Intake → CRM → fulfillment, connected by agents that do the typing your team does today. Measured in hours saved per week, reported monthly.
What you get
- Automations wired into the tools you already use
- Human-in-the-loop review where the stakes require it
- A monthly hours-saved report
Customer-facing AI
Support assistants, sales enablement, and content operations that sound like your business — with escalation paths so a human is always reachable.
What you get
- An assistant trained on your docs, policies, and tone
- Escalation and handoff flows to your team
- Analytics on deflection, satisfaction, and revenue influence
Custom AI software
When off-the-shelf doesn't fit: bespoke applications with AI at the core — customized to your workflow, built to scale with you, and optimized for speed and running cost. Scoped and priced up front, delivered in weeks.
What you get
- A fixed-scope build with weekly demos
- Migration of your existing data with fidelity checks — nothing lost on the way in
- Quality assessment baked in: automated tests and checks run before every release
- Source code, documentation, and deployment — you own everything
- An optional care plan for updates and improvements