Deploy or redirect
If AI isn't the right tool, we say so in week one. No POC theater, no six-month discovery before value.
About
One principal.Production depth.
PrismBase exists because mid-market teams don't need a $2M transformation program; they need a senior practitioner who sizes the opportunity honestly, builds the pipeline, deploys it with monitoring, and transfers the capability. All under one contract.
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
How we work
Principles,not platitudes.
Radical transparency
Honest sizing on what will ship, what won't, and what it costs, in the first conversation, not month six.
Capability transfer
You own the code, models, and runbooks. Knowledge transfer is included, not a separate upsell.
Selective intake
We decline engagements we cannot commit to shipping. Fit is established in a confidential discovery call.
Expertise
Built for production environments
- , Real-time fraud & risk at federal scale
- , Postgres/Supabase performance & architecture
- , Governed LLM & retrieval pipelines
- , MLOps, feature stores, and model serving
- , Document intelligence under NDA
- , Agentic development & full-stack delivery
- , Legacy code modernization & platform upgrades
Why PrismBase
Tier-1 depth.Direct to the principal.
Buyers comparing McKinsey, Deloitte, or boutique AI shops often wait months for strategy, then hand off to another team to build. PrismBase contracts for deployable output (code, pipelines, and runbooks, in weeks.
Tier-1 programs
PrismBase
Who does the work
Partner + manager + analyst pyramid
Senior principal, hands-on
Time to first value
4–8 months (strategy → implementation)
48 hours (audit) to 6–10 weeks (production)
Engagement model
Separate strategy and build vendors
One team, one contract, end-to-end
Deliverables
Roadmaps, decks, reference architectures
Code, pipelines, monitoring, runbooks
Delivery model
Partner oversight with analyst execution
Principal architects, codes, and deploys
Program cost
$500K–$10M+
$2.5K audit → $15K+ scoped → $25K/mo embedded
Post-engagement
High dependency on firm to operate
Full IP transfer; your team owns it
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.
Selective intake · Q2 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.