Advisory & architecture
Clarify outcomes, risk posture, and integration boundaries before you commit runway. Model selection, data handling expectations, and operating cadence—aligned to how your teams ship.
AI consulting · implementation · integration
Ship AI that holds up in real operations
JupitLunar is a founder-led practice focused on AI systems that survive integration and governance—not slide-only initiatives. Engineering depth and applied ML sit in Thunderlab, where we evaluate models, instrument workflows, and ship integrations accountable to operators. Our orientation is B2B-grade delivery; engagement scope varies by project (see Work for active programs).
Delivery model — advisory sprints, embeds, and build teams. Security-conscious · private deployment options · evaluation-first
B2B-oriented Governance & accountability
Agent-style workflows Orchestration & guardrails
Integration-aware Systems thinking, not chat-only
Shipped footprint We run live programs & products
Thunderlab
Thunderlab is JupitLunar’s engineering and applied machine learning spine—where we prototype integrations, evaluate models against real workflows, and pressure-test automation before operators depend on it.
Systems & integration engineering
Integration design, observability hooks, and deployment paths that survive review—not notebook demos wired to a single API key.
Applied ML & evaluation
Model and workflow choices grounded in task metrics and failure modes: evaluation harnesses, regression checks, and guardrails aligned to governance—not leaderboard chasing.
Company → · How the practice is organized around delivery and portfolio clusters.
How we engage
Most teams do not need more demos—they need clear accountability, integration discipline, and a credible path to production. We keep advisory and implementation in one engagement model so recommendations stay tied to delivery reality.
Implementation delivery
From workflow automation to agent-style systems, we ship software you can run—observable, testable, and designed for iteration (see Work for what is live today).
Integration roadmap
We design toward credible B2B deployments: identity and data boundaries, hosting choices, and eventual coupling with ERP, OT, and line-of-business tools—as your requirements mature.
From clarity to production
A repeatable operating rhythm—so initiatives do not stall between strategy decks and incomplete integrations.
01
Discover
Stakeholder interviews, workflow mapping, and a pragmatic readiness snapshot.
02
Design
Architecture, evaluation harnesses, and rollout sequencing matched to compliance constraints.
03
Deploy
Integration delivery: connect to your stack where scope allows, document assumptions, and hand over runbooks—not a slide-only engagement.
04
Measure
Quality gates, drift checks, and iteration loops tied to business signals you already track.
AI & automation
Programs and products focused on workflow automation, agent-style execution, and reviewable AI-assisted processes.
Active 
AB Transform
Secure AI workflows, compliance-driven agents, and digital transformation for Alberta organizations.
Business AIWorkflow AutomationCompliance
Beta 1personcompany.ai
Multi-agent orchestration framework for executing complex, multi-step business logic securely.
Agentic OrchestrationLLM RoutingSystems
Digital infrastructure
Data platforms, industrial controls context, and durable systems that keep performing after launch.
Active AB Control
Industrial controls, SCADA, and secure process optimization for critical operations.
Industrial AutomationSCADASecurity
Deployed Local Discovery Networks
High-traffic structured data engines demonstrating capability in large-scale data architecture and localized search.
Data ArchitectureScalabilitySEO
Applied R&D
Focused experiments—privacy-first assistants, evidence-heavy vertical UX, and safety tooling—so our methodology is grounded in shipped work, not vendor collateral alone.
Moltbot Core Proprietary internal framework for rapidly deploying domain-specific, privacy-first AI assistants.
Consumer Health R&D Consumer-facing AI applications (Mom AI Agent, SolidStart) serving as live testing grounds for safe, evidence-based LLM outputs.
How we work
- Security-conscious defaults: private and self-hosted deployment paths when your constraints require them.
- Integration framing: models as components within workflows and systems—not disconnected chat UIs.
- Transferable delivery: documentation, handover notes, and clear assumptions so ownership is explicit.
Bring a problem—not a buzzword
If you are planning AI for workflows that must hold up to review—or you need implementation support, not a generic strategy deck—we can scope an honest next step.
Schedule a technical briefingRepresentative stack & partners
Evaluation & observability · Private cloud & VPC patterns · Major model APIs & self-hosted LLMs · PostgreSQL / Supabase-class data planes · Industrial systems awareness · Thunderlab · ML evaluation · integration prototypes