Intelligent inventory management, digital signage networks, fleet tracking, and warehouse automation suites.
A guided walkthrough of our intelligent inventory management platform — POS, eCommerce, and warehouse automation in one system.
The end-to-end IMS for regulated logistics, manufacturing, and field-service operations.
Nexless IMS gives operations teams one source of truth: raw materials, recipes, production runs, serialized output, warehouse picking, customer files, billing, and audit trail — on a modern stack with AI built in. Currently shipping in version 2.36, in production, with bilingual French and English support and Canadian hosting.
In production, not a prototype. 16 versions shipped in six months. Every module is live and audit-logged.
Manufacturing-aware AND warehouse-aware AND healthcare-aware. BOMs, production runs, serial-number traceability, Pick-to-Light picking, RAMQ-style billing maps, and MDSAP-grade audit trail — a combination no generic MRP, WMS, or ERP offers natively.
Bilingual and Canadian. French/English UI, Quebec Law 25 compliance, on-prem, Canadian cloud, AWS, or hybrid deployment.
AI inside the core. All frontier providers supported, plus any local model your infrastructure can run, orchestrated by a dedicated AI Kernel with 22 registered tools.
Customizable to the kernel. Bespoke modules and AI agents are first-class — not bolted on, not exiled to a plugin store.
Seventeen production modules, grouped into five areas. Expand each to see what ships.
Most platforms ship a fixed feature set and call customization “professional services.” Nexless ships the kernel that makes customization native. Custom modules are first-class citizens: the same kernel that runs core inventory and manufacturing runs whatever you build on top of it.
Nexless is not an IMS with an “AI chatbot.” It is an IMS where AI agents can read, reason, act, and be audited — through a kernel that controls what they touch. Procurement officers ask three questions about AI in regulated environments: can it be turned off, can it be audited, can we constrain what it touches? Nexless answers yes to all three at the kernel level — not at the UI layer where most vendors handle it.
Integration adapters for any data source — works with healthcare back-office systems, ERPs, legacy databases, accounting platforms, and custom internal tools.
MDSAP-ready audit trail
author, IP, agent, timestamp on every change, CSV-exportable
Quebec Law 25 compliant
Canadian hosting, encryption at rest, access logs, RBAC
Configurable billing code mapping
administrator-managed (RAMQ, insurance, internal codes), no developer required for updates
Human review queue
for low-confidence AI suggestions and full document approval workflow
| Frontend | Next.js 15, React 18, TypeScript |
|---|---|
| Styling | Tailwind CSS, shadcn/ui |
| Database | SQLite (local) or Postgres (cloud sync) |
| Vector Database | ChromaDB / pgvector |
| AI Providers | All frontier providers (OpenAI, Anthropic, Google, etc.) plus any local model your infrastructure can run |
| Image Processing | Sharp, pHash, TensorFlow.js, GPT-4o Vision |
| Authentication | NextAuth.js with RBAC |
| Payments | Stripe (Elements + Checkout), PayPal, Google/Apple/Amazon Pay |
| Hosting | On-premise, Canadian cloud, AWS, or hybrid |
Dual-Kernel System. Nexless IMS runs on two interlocking kernels: the AIK (AI Kernel) — centralized AI execution with 22 registered tools, a middleware pipeline, and provider adapters for every supported model, cloud or local — and the PIK (Pattern/Knowledge Kernel) — documentation and architectural governance through 8 reusable archetypes that keep customization costs predictable.
Eight reusable archetypes — patterns extracted from production:
Pick the model that matches your data-residency, compute, and cost constraints. We deploy and configure all of them.
On-premise: for hospitals, public-sector clients, and any organization with data residency or air-gap requirements. Local models run on your hardware — no data leaves your network.
Canadian cloud: Supabase, Vercel, or any other Canadian-hosted infrastructure (Loi 25 compliant).
AWS with local models and burst compute: core platform and primary AI workloads run on private AWS infrastructure with local open-weight models for everyday inference. When throughput spikes — bulk image cataloging, training jobs, large-document RAG — the platform bursts to AWS GPU instances or frontier APIs automatically, then scales back down. You pay for capacity only when you use it.
Hybrid: primary on-prem with optional cloud sync for backups, analytics, training jobs, or remote teams.
WAN development mode: three remote-access modes (random ngrok tunnel, static IMS domain, dual IMS+Storefront tunnels) for live customer demos and rapid iteration sessions.
Hybrid SaaS + professional services, aligned with how regulated buyers actually procure.
Onboarding + installation (one-time) — sized to your environment: on-prem, Canadian cloud, or AWS with local models and burst compute
Monthly platform base — plus per-user subscription
Evaluation & custom module planning — $250 / hour (senior architect / healthcare-MDSAP specialist)
DevOps & implementation — $100 / hour entry rate, with tiered Mid ($150) and Senior ($200+) for advanced work
Custom AI model training — fixed-price engagements to fine-tune or train a private model on the client’s data, with retraining cycles available as a subscription
Annual support & maintenance — 18% of initial license value
Training — by session or by day
Perpetual license option — available for public-sector clients preferring capex over opex
Request a budgetary quote for your context.
That's the use case we built Nexless for. Email dshamir@nexlessai.com or request a 30-minute demo. Bilingual response within 24 business hours.
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