Five disciplines, one accountable team - from the first model to autonomous agents and the platforms that run them. Pick a starting point; we take it from discovery to a measured result.
01
Data Science
We turn messy, real-world data into models and insight you can act on - rigorous, validated, and tied to a business question that matters.
01 / 05
Exploratory data analysisProfile and visualize raw data to surface patterns, gaps, and the questions worth modeling.
Statistical & ML modelingRigorous, validated models that turn the signal in your data into reliable predictions.
Experiment design & A/B testingDesigned experiments that measure real causal impact, not noise.
Customer & revenue analyticsSegmentation, LTV, and cohort analysis that explain what actually moves the business.
Feature engineeringEngineered, reusable features that lift model accuracy and stability.
Data storytellingClear narratives and dashboards that turn analysis into decisions.
02
Predictive Analytics
Forecast what happens next - demand, churn, risk, revenue - and wire those predictions straight into the decisions that depend on them.
02 / 05
Demand & revenue forecastingForecasts that plug straight into planning, inventory, and budgets.
Churn & propensity modelsSpot who will leave or convert in time to act on it.
Risk & fraud scoringReal-time scoring that flags risk before it costs you.
Recommendation enginesPersonalized recommendations that lift engagement and basket size.
Time-series & anomaly detectionCatch trends and outliers across your metrics as they happen.
Decision intelligenceWire predictions straight into the decisions that depend on them.
03
AI Engineering
Production Generative AI and autonomous agents - RAG, copilots, and tool-using workflows, grounded with evaluation and guardrails.
03 / 05
RAG & knowledge assistantsAssistants grounded in your documents, with retrieval and citations you control.
Copilots & autonomous agentsTool-using agents that plan and complete real workflows.
LLM fine-tuningTune and adapt models to your domain, voice, and tasks.
Evaluation & guardrailsMeasured quality and safety checks before anything ships.
Document & workflow automationAutomate document-heavy and repetitive workflows end to end.
Vector & semantic searchFast, meaning-aware search across your knowledge and data.
04
MLOps / AIOps
Keep models and AI systems healthy in production - automated pipelines, monitoring, and the observability that catches drift before your users do.
04 / 05
CI/CD for modelsAutomated pipelines to train, test, and ship models safely.
Feature storesA single, governed source of features for training and serving.
Drift & quality monitoringCatch model decay and data drift before your users feel it.
Model registry & governanceVersioned, audited models with clear ownership and approvals.
Scalable inferenceServe models reliably at the latency and scale you need.
Cost & incident observabilityFull visibility into spend, health, and incidents in production.
05
Engineering Development
Full-stack product engineering around your AI - APIs, web and mobile apps, cloud infrastructure, and the data platforms that ship and scale it.
05 / 05
Web & mobile applicationsPolished, production web and mobile apps built around your AI.
API & backend engineeringRobust APIs and services that scale with your product.
Cloud & DevOpsCloud infrastructure and automation built for reliability.
Data platforms & lakehousePipelines, warehouses, and lakehouse foundations that feed it all.
System architectureArchitecture that holds up as data and traffic grow.
Platform modernizationModernize legacy systems without stalling the roadmap.
Not sure where to start?
Tell us the metric you want to move. We'll map the highest-leverage path on a free call.
