— 82W Digital
Shipping AI into
places it usually
doesn't go.
Regulated-industry prototypes. Databricks AI agents and apps. Unity Catalog enrichment. Value realization. Senior hands on every engagement, end to end.
What we do
We work where AI has to be rigorous, auditable, and shipped. Regulated industries. Behavioral systems. Data platforms that carry real weight.
A slide deck won't save you. A demo that works on the sample data won't either. The problems we take on are the ones where the system has to hold up the first time, in the room where decisions get made, with the people who have to live with the answer.
Senior attention from first call to handoff. No junior swap-outs, no staff augmentation, no subcontracted work.
Practice areas
Two practices. One way of working.
Everything we take on sits in one of two lanes. Both lean AI-first, both ship working code, and both are run end to end by the same senior hands.
Regulated, rigorous, shipped.
AI Prototyping Studio
We build AI systems for places where it has to work the first time — clinical settings, behavioral systems, regulated workflows. The kind of problems where a demo isn't enough and a slide deck won't save you.
Regulated-industry AI
HIPAA-compliant builds, auditable pipelines, PHI-aware architectures. We've shipped into behavioral health and education environments where the rules are real.
Constitutional AI with human oversight
Rules-based guardrails, escalation paths, and review loops that keep humans in the decision — without making the system useless.
AI agent development
Task-shaped agents, tool-use systems, and multi-step workflows. Built to be inspected, not just invoked.
Rapid prototyping to production
Working code in weeks, not quarters. We ship into real hands early so you learn before you spend.
Value realization for your lakehouse.
Databricks Practice
Most Databricks investments are underused. We help teams close the gap between the platform they bought and the outcomes they expected — with tooling, enrichment, and applications that make the data useful to the people who need it.
Unity Catalog metadata enrichment
Governed metadata at scale. Lineage, classification, PII/PHI tagging, and semantic enrichment that makes Unity Catalog actually searchable — not just populated.
Value realization
Outcome measurement frameworks that prove what the lakehouse is worth. We instrument the workflows, quantify the lift, and hand leadership something they can act on.
AI agent development on Databricks
Agents built on Mosaic AI Agent Framework and Genie. Tooled into your data, governed through Unity Catalog, deployed into the places your team already works.
Databricks Apps
Custom applications on the Databricks Apps platform. Internal tools, decision surfaces, and embedded experiences that live next to the data instead of in a separate stack.
Selected work
Things we've actually shipped.
Four projects that prove the pitch. Open-source, regulated, responsible, and architectural — one each.
01 · Shipping product→
NextDialog
A calm interface for AI coding agents.
Multi-session desktop terminal manager for Claude Code, Cursor Agent, Gemini CLI, and custom agents. Built, shipped, and live at nextdialog.io.
- Version
- v0.3.2
- Releases
- 17
- License
- MIT
- Platforms
- macOS · Linux · Windows
02 · Regulated-industry fluency→
CareHub
HIPAA-compliant behavioral health SaaS.
A multi-tenant platform for behavioral health providers — clinical workflows, risk flagging, and audit trails that meet the rules without getting in the way of care.
- Compliance
- HIPAA
- Domain
- Behavioral Health
- Scope
- Clinical + Admin
03 · Responsible AI at real stakes→
AskLisa AI
Constitutional AI with human oversight for Digital Citizen Academy.
An AI tutoring and guidance system built for an education partner — with rules, escalation paths, and human review loops that keep the humans in charge.
- Model
- Constitutional AI
- Oversight
- Human-in-loop
- Sector
- Education
04 · Graph knowledge architectures→
Substrate
A personal cognitive data substrate.
A graph-based knowledge management system with spreading activation, designed to hold and connect personal and project context across time.
- Architecture
- Graph-native
- Algorithm
- Spreading activation
- Scope
- Cognitive infrastructure
How we work
Three phases. No surprises.
Every engagement runs through the same shape. Fixed fees where it matters, capped time-and-materials where it helps, and a written decision point between every phase.
01
We map the problem, the constraints, the stakeholders, and the first thing worth building. You leave with a written brief, an architecture, and a decision: move forward, or don't. Fixed fee. No pressure.
02
We ship a working version into real hands as quickly as the problem allows. Instrumented. Reviewed. Iterated. By the end, you have something you can show a board, a regulator, or a skeptical engineer — and it works.
03
We leave you with working code, documentation that matches the code, and a team that can run it without us. Optional production hardening and follow-on engagements, always scoped and capped.
Fit
Who this is (and isn't) for.
◆ Good fit
- Teams where AI has to be rigorous, auditable, and deployable the first time.
- Healthcare, behavioral health, education, and other regulated or high-stakes domains.
- Data teams trying to extract real value from an existing Databricks investment.
- Founders who need a working prototype in weeks, not a decision framework in months.
◇ Not a fit
- Staff augmentation or body-shop engagements.
- AI readiness assessments, maturity models, or 20-page procurement roadmaps.
- Projects that need a sales team, a marketing team, or a subcontracting layer.
- Teams that haven't decided whether AI is worth doing. That's a different conversation.
— Start a conversation
Got a problem worth
shipping an answer to?
One email. Describe the problem, the stakes, and the timeline. We reply to everything that isn't a sales pitch.
