Data Maturity & Governance
Quality, accessibility, lineage and governance. The foundation that determines what AI can actually do for you.
Primordial Labs / 2026 Engagements open
Enterprise AI,
deeply engineered.
- Practice
- Applied AI Systems
- Engagement
- Strategic Advisory + Build
- Sectors
- Healthcare, Finance, Platforms
- Team size
- Senior, by design
01 / Premise
What we believe
Most enterprise AI work fails not at the model layer, but at the connective tissue between data, tools, and the people who use them.
The model is a commodity. The fabric isn't. Plabs builds the layer underneath the headlines: governed data access, discoverable tools, orchestrators that survive contact with reality, and the audit trail your security org will actually sign.
We do not staff projects with juniors. Engagements are led personally by our founder, a CTO who has shipped systems across hospital operations, Johns Hopkins genomics research, and Fortune 25 insurance, and who would rather have one frank conversation with your CTO than ten with a procurement team. Meet the practice.
"AI won't replace people, but maybe people that use AI will replace people that don't." Andrew Ng
02 / Capabilities
What we ship
Four doors in. One destination: AI that actually runs your business.
/ 01
Flagship platform
Intelligence Fabric
One governed layer connecting your data to the AI you actually want to run. We find the sources worth using, gate who and what can touch them, and open them to your people, your apps, and your AI agents alike, with an audit trail your security team will sign.
- Finds and maps the data you already own
- One safe doorway for people, apps, and agents
- Gets faster and leaner the longer it runs
- Learns new shortcuts from how your teams work
→
/ 02
Autonomous operations
Intelligence Fleet
A supervised AI workforce for the recurring, rule-bound work that never stops. A fleet of agents handles what it can on its own, sends every judgment call to your team, and only runs when there is real work to do. You pay for work, not for waiting.
- Agents that do the work, start to finish
- Your people stay in charge of the calls
- One review queue, full audit trail
- Runs in your cloud, $0 when idle
→
/ 03
Strategic engagement
Intelligence Catalyst Workshop
A 20-day, three-phase assessment sprint that arrives at a customized AI roadmap balancing privacy, ROI, legacy integration and adoption. For organizations that need a defensible plan before they spend a dollar on infrastructure.
- Insight Ramp: pre-engagement study
- Core Insight: stakeholder validation
- Intelligence Foundation: roadmap, plan, KPIs
→
/ 04
Developer productivity
CodeAssist
Translates business requirements directly into code, tickets, and contextual documentation inside your existing toolchain. Deployed today against active platforms with measurable per-sprint savings.
- Requirements → boilerplate + Jira
- Bug triage with automated suggestions
- Persona-aware Confluence docs
→
03 / Method
How we assess
Five vectors of readiness, evaluated honestly.
Strategic Alignment & Exec Support
Where AI maps to business strategy, and the depth of executive buy-in needed for sustained transformation.
Use-Case Identification & Priority
High-impact opportunities mapped to value, not novelty, and sequenced into a roadmap your CFO can defend.
Tech Infrastructure & Scale
Whether your stack can support and scale AI. Where the rebuilds are. Where they aren't.
AI Expertise & Talent Readiness
In-house ML acumen, skill gaps, and the training and hiring it will take to operate what we build.
04 / Practice
Where we go deep
Senior practitioners across the AI value chain.
Applied AI Systems
Multi-agent orchestration, tool routing, retrieval, evaluation pipelines, fine-tuned and frontier models in production.
Data Engineering
Source discovery, governed pipelines, semantic layers, vector stores. The work that turns proprietary data into a defensible moat.
Cloud Infrastructure
Multi-cloud, secure-by-default, scalable foundations across AWS, GCP and Azure for regulated industries.
Platform Architecture
Tool discovery, MCP, OpenAPI, AuthZ, audit. The architectural choices that decide whether AI ever leaves prototype.
Application Development
Production web and service applications: the orchestrator UIs, dashboards and back-office tools that wrap the AI.
Strategy & Change
In partnership with Spinoza Strategies: workforce buy-in, change management, ROI defensibility. Adoption is a design problem.
Begin
Bring us in early. Bring us in honest. We'll do the same.
Engagements typically start with a 30-minute scoping call. If we're wrong for the work, we'll say so on the call and point you somewhere better.