Data Science Consulting
Data science consulting that ships to production.
Senior data science consulting for teams that need predictive models, data and ML pipelines, and MLOps in production. Deep expertise in time series forecasting, geospatial analytics, federal-scale fraud detection, and governed deployments.
Data science consulting services
Production ML and data science across regulated industries. See also our AI consulting practice for agentic systems and LLM deployments.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Client perspective
PrismBase didn't hand us a slide deck. They shipped a fraud detection pipeline that processes our full transaction volume in real time. We went from months of stalled POCs to production in six weeks.
“The DB Optimizer audit found three missing indexes that were killing our API latency. We cut p95 response time by 60% within a week of implementing their recommendations.”
VP Engineering
B2B SaaS Platform
Enterprise SaaS
“Finally, an AI consultancy that tells you what won't work. They saved us six months by redirecting our LLM initiative toward a simpler retrieval pipeline that actually shipped.”
CTO
Growth-Stage Startup
B2B Software
Client names withheld under NDA where required. Read documented outcomes
The Principal
Drake TalleyFounder & Principal
Nine years in data, six in production DS/ML/AI—data and ML pipelines in Python and SQL, federal-scale fraud at 10TB+/day, geospatial and time series analytics, biotech R&D under NDA, and governed LLM deployments. Same principal from the first call through production.
- , Federal fraud detection at 10TB+ daily throughput
- , Biotech and life-sciences under full NDA
- , Production Standard contracted in writing on every mandate
Data science consulting FAQ
What is data science consulting?
Data science consulting applies statistical modeling, machine learning, and data engineering to business problems: building predictive models, pipelines, and analytics systems that run in production. PrismBase delivers code, infrastructure, monitoring, and runbooks your team owns.
How is PrismBase different from other data science consultancies?
The founder architects, codes, and deploys every engagement. Production artifacts (pipelines, monitoring dashboards, runbooks) are contracted in writing under the Production Standard.
What data science services do you offer?
Predictive modeling, fraud and anomaly detection, feature engineering, MLOps, real-time scoring, A/B testing infrastructure, drift monitoring, and cloud ML cost optimization. Engagements span diagnostic audits ($2,500) through full production mandates.
Do you augment existing data science teams?
Yes. We embed as a senior practitioner, unblocking production deployments, designing pipeline architecture, or owning a scoped mandate end-to-end. Knowledge transfer is built into every engagement.
What industries do you serve?
Financial services, federal & public sector, B2B SaaS, insurance, healthcare & life sciences, legal, manufacturing, and telecommunications. Biotech and regulated engagements run under NDA.
Book your free call
30 minutes. Honest assessment of your data science and ML roadmap.
Free 30-min call · No obligation · or send a message instead
Models in notebooks don't move the business.
Production data science consulting means pipelines, monitoring, and runbooks your team owns. Let's scope what shipping looks like for your organization.
Start a data science engagement