Applied AI for practical outcomes.
We prototype, validate, and harden AI solutions into clear, measurable outcomes, before they become products designed for regulated environments.
Every system we ship moves data through five auditable stages.
Determinism, traceability, and security are built into the pipeline, not bolted on after a demo.
Current Initiatives
13 active · synced nowHealthcare RAG
Evidence-first retrieval and summarization tuned for curated medical sources with strict traceability and citations.
- Source document traceability
- Hallucination-reduction guardrails
- Summaries for clinical review
Research Agents
Autonomous agents that monitor academic publication feeds and generate tailored intelligence briefings for researcher profiles.
- Automated literature monitoring
- Profile-based relevance filtering
- Structured briefing generation
BrainSolo
Investigating ADHD-friendly planning and time-management patterns using adaptive AI interfaces to reduce executive friction.
- Context-aware task breakdown
- Visual time-blocking assistance
- Low-friction capture workflows
AI Governance Evidence Room
A lightweight workspace for AI inventories, risk classification, control mapping, and audit-ready evidence packets.
- AI system inventory
- Control and risk evidence
- Board-ready exports
Prior Authorization Readiness Copilot
Administrative AI support for documentation checklists, medical necessity drafts, denial reasons, and resubmission packets.
- Payer requirement checklists
- Missing-field detection
- Resubmission support
SEC Cyber Disclosure Workbench
A secure workspace for incident fact patterns, materiality checklists, disclosure drafts, and board-ready cyber packets.
- Incident timeline capture
- Disclosure draft support
- Board packet exports
HIPAA Security Rule Readiness Monitor
A practical readiness monitor for healthcare security controls, vendor evidence, and remediation planning.
- Security control questionnaire
- Vendor evidence tracking
- Remediation roadmap
BEC Payment Risk Copilot
AI-assisted payment request screening for bank-change emails, invoice anomalies, and executive impersonation signals.
- Bank-change risk scoring
- Vendor verification checklist
- Payment hold workflow
AI Cloud Cost and FinOps Copilot
Security-aware cost intelligence for cloud and AI workloads, with waste detection, anomaly triage, and savings plans.
- AWS Cost Explorer ingestion
- AI workload waste detection
- Savings action ledger
Regulated Support Knowledge Agent
A citation-first support agent for regulated SMBs that answers only from approved knowledge and escalates uncertainty.
- Approved-source answers
- Confidence-based escalation
- Documentation gap reports
AI Software QA and Release Evidence Harness
A review layer for AI-assisted software teams that turns code changes into risk summaries, test plans, and release evidence.
- PR risk summaries
- Generated test checklists
- Release evidence exports
Generative Search Visibility Monitor
A monitoring product for how AI search surfaces describe, cite, omit, or misrepresent a brand and its competitors.
- AI answer snapshots
- Citation and accuracy checks
- Content recommendations
Public Sector RFP and Grant Response Copilot
A proposal assistant that tracks public opportunities, scores fit, builds compliance matrices, and drafts reviewable responses.
- Opportunity fit scoring
- Compliance matrix generation
- Approved-boilerplate drafting
The Lab Process.
We move from hypothesis to hardened solution through a structured, four-stage lifecycle.
Validate feasibility in a sandbox.
Permissioned data, monitored use.
Security, observability, runbooks.
Move to General Availability.
- · Defined success metrics
- · Access to permissioned, relevant data
- · Security baseline established
- · Clear workflow definition
- · Operational ownership transferred
- · Documented limits and constraints
- · Full observability implemented
- · Completed operational runbook
Built for reliability, not the demo reel.
Plant88 is Compute's applied AI lab. We exist to bridge the gap between theoretical AI capabilities and practical, reliable business outcomes in complex industries.
We focus on engineering solutions that can withstand the scrutiny of regulated environments, prioritizing determinism, traceability, and security over hype.
We prioritize
- Determinism
- Traceability
- Security
We avoid
- Vague AI hype
- Unverified medical claims
- Black-box consumer systems
Plant reflects a factory-floor model for repeatable delivery. 88 represents two feedback loops running side by side: prototype → pilot → learn, and harden → operate → improve.
Get in touch.
Interested in piloting an initiative or discussing a specific applied AI challenge within a regulated environment?