AI Enablement Studio

We help organizations identify, ship, and scale AI capabilities.

A reproducible methodology that turns AI ambition into shipping product in weeks, not quarters — built for regulated and high-stakes industries where most teams stall.

Products

Tools we've built — and ship to others

Each product is a working proof point of the methodology. Use them, or have us build something purpose-built for your team.

● Live
Vyzora Lens
AI investment research dashboard. 12 sector theses, conviction grades, live tracker, and signal chips — built to surface alpha in the AI ecosystem itself.
Try free →
● Coming soon
Vyzora Spec
The spec pipeline as a product. Generate a complete project spec — personas, architecture, knowledge bases, feature briefs, cloud target — from a single prompt.
Get notified →
● Engagements
Vyzora Forge
Custom AI enablement engagements. We embed with your team, run the methodology end-to-end, and ship a working product on your stack.
Book intro →
Case Studies

Five verticals. One methodology.

A portfolio of AI enablement work across regulated and consumer-facing industries — every one built top-to-bottom with the same playbook.

Investment research
Vyzora Lens — AI sector dashboard
Built end-to-end from spec → Cloud Run → subscription product. Live, demo-able, and the lighthouse case for the methodology.
FastAPI Cloud Run Firebase Stripe
Regulated AI / GovCloud
Isolated AI for high-trust environments
Sovereign-cloud-only architectures. Zero external API surface, FedRAMP-style isolation, and complete audit trails.
GovCloud Bedrock FedRAMP-aligned
Education / public sector
Compliance-driven SIS on Azure + M365
90+ specs, all six pipeline phases delivered, OHE-aligned ahead of regulatory deadline.
Azure M365 OHE-aligned
Research enablement
AI methodology + spec pipeline
A reproducible spec-to-deploy pipeline (init-specs → personas → knowledge bases → features → cloud) productized for any team.
Methodology Personas Knowledge base
Your vertical
Your AI build, on your stack
The methodology adapts to any regulated or research-driven industry. Tell us what you're trying to ship.
Discovery Spec Build
Methodology

Reproducible. Auditable. Vertical-agnostic.

The same five-step pipeline runs every project — from a single discovery prompt to a deployed product.

01
init-specs
Generate the full Specs/project-root tree from a single prompt — architecture, personas, KBs, features.
02
Persona consultation
Mandatory gate. Domain experts review every major decision before code is written.
03
Knowledge bases
Per-domain KB built from research, interviews, and prior art. Becomes the AI's working memory.
04
Active features
RICE-scored briefs drive sprint priorities. Each one ships with acceptance criteria up front.
05
Cloud deployment
Architecture spec + Terraform + cloud target. Production from day one, not month six.

"This is how we ship AI at every client. Reproducible. Auditable. Vertical-agnostic."

Research

Field notes from the build

Frameworks, build logs, and case studies — written from the code, not the marketing deck.

Ship AI that matters — with a methodology that's already shipped.

30-minute discovery call. We'll map your vertical against the methodology and tell you exactly what's buildable in the next 8 weeks.