For companies that need systems built
AI systems, automations, copilots, internal tools, and custom software, designed and shipped into production.
Explore AI solutionsFrom business problems to intelligent systems.
Asterpolaris designs, builds, and deploys AI systems, automations, internal tools, and software for companies with real operational problems. We start with the problem, not the technology.
Built with operators in hospitality, real estate, and professional services.
- Hospitality groups
- Restaurants
- Nightlife & events
- Real estate management
- Property operations
- Membership brands
- Professional services
- Ticketing
- Call centres
- Loyalty programs
- Multi-venue retail
- Founder-led teams
One team, from strategy to shipped system.
Whether you need something built or need to decide what to build, the same team owns the whole path.
For leaders deciding where AI fits
Readiness audits, workflow diagnosis, and automation roadmaps that lead to a build, not a slide deck.
Explore consulting
New
Introducing Asterpolaris Academy
Our new training platform, for the teams who have to run the systems after we ship them.
Asterpolaris Academy
Training that ends with your team actually using AI.
- Hands-on, not theory
- Built on systems we run in production
- For the whole team, not just the tech lead
Systems designed for the people who run the business.
AI agents with human approval
Agent workflows that act on live data, with approval built into the steps that carry real risk.
Learn moreWorkflow automation
The manual work between your tools, automated end to end so the same data stops getting copied by hand.
Learn moreKnowledge search and RAG
Answers grounded in your own documents and data, with the sources attached so anyone can check them.
Learn moreDashboards and reporting
One reconciled view of the numbers, so leadership stops chasing them across four systems that disagree.
Learn moreCustom software and iOS
Internal apps, web tools, and native iOS where the product calls for it, built around how the team actually works.
Learn moreConsulting and readiness audits
Diagnosis before implementation: where AI, automation, and software genuinely earn their place, and where they do not.
Learn moreVenture partnerships
Selective partnerships where our capabilities create leverage rather than a standard client engagement.
Learn moreWe turn messy business problems into systems that actually run.
Most companies do not have an AI problem. They have an operations problem that AI, automation, and good software can finally fix. That is the work we take on.
Teams are buried in manual work that should have been automated a long time ago.
Tools do not talk to each other, so the same data gets copied between systems by hand.
Leadership lacks visibility because the numbers live in too many places to trust.
AI is being talked about, but nobody has implemented it where it would matter.
Growth is stalling because the systems underneath the business cannot keep up.
Questions we hear a lot.
Do you only advise, or do you actually build and deploy?
We build and ship. Strategy is where we start, but working software running in your operations is what we deliver. Consulting exists to make the build sharper, not to replace it.
What kinds of systems do you build?
AI systems and automations, custom copilots, knowledge search and RAG, reporting dashboards, agent workflows with human approval, and the internal tools and custom software around them, including iOS apps where the product calls for it.
We are not sure AI is even the right answer. Can you help?
Yes. Most companies have an operations problem before they have an AI problem. We diagnose the workflow first and only recommend AI, automation, or software where it genuinely earns its place.
How do you keep AI safe to put in front of a real team?
We design with humans in control. Approval is built into the steps that carry real risk, answers are grounded in your own data with sources you can check, and we deploy gradually against how your team actually works.
How does an engagement usually start?
Start small or go deep. A focused audit, a single workflow, a prototype, or a full implementation. We map the problem, design the system around it, build it, and put it into real use before we scale it.
Where do you work?
We work with companies across the United States and Canada, in English and French. Engagements run remotely, with the cadence and on-site time the project needs.
Real systems, in daily production use.
See all workCase study 01 · JEGantic Hospitality
Meet Orchid. One AI operations layer for 8+ venues.
A persistent, multi-agent AI system answering from live POS, reservation, and ticketing data — with hard per-venue data boundaries and human approval on anything irreversible.
8+ venues
on one operations layer
Case study 02 · Multi-venue restaurant & nightlife group
Four systems. One truth. A grounded AI analyst on top.
A hospitality intelligence platform reconciling sales, reservations, phone coverage, and reviews behind one canonical venue registry, with every number traced to live data.
44 functions
serverless, over 15 months of production hardening
Case study 03 · Real estate management company
Messy intake. Review-ready work. A local AI operations layer.
Slack, WhatsApp, email, documents, images, and tenant records routed through seven specialist agents, with durable queues, OCR pipelines, and approval gates around sensitive work.
7 agents
coordinating real estate operations locally
Case study 04 · JEGantic Hospitality · Native iOS
The club, in your pocket. A fully developed membership app.
A premium SwiftUI iOS app turning a VIP nightlife membership into one native journey — tiered loyalty, live reservations, rewards, ticketing, and a signed Apple Wallet pass.
100% SwiftUI
native, cache-first, and offline-ready
Built to hold up under real operational load.
- Venues running on one AI operations layer
- 8+
- Specialist agents in production
- 18
- Platforms integrated live
- 13
- Serverless functions hardened in production
- 44
- Months of continuous production use
- 15+
Built with humans in control.
AI only earns a place in daily operations if the people running them can see what it did and stop what it should not do.
Approval gates on risky steps
Anything irreversible, legal, financial, or customer-facing waits for a person.
Per-venue and per-tenant boundaries
Each agent sees only the data its scope allows, enforced in the system itself.
Answers grounded in your data
Every figure comes from a live source you can open and check yourself.
Local or private deployment
Where the data calls for it, the system runs inside your own environment.
Gradual rollout against real work
We deploy into one workflow, prove it holds, and only then widen the scope.
Deterministic scripts for sensitive work
Where a model should not improvise, plain code does the job the same way every time.