Anyone can demo AI.
We put it in production.
Since 1999, IGM Group has shipped production software and hardware for enterprises. Now we bring the same rigor to AI agents, agentic automation, and local AI running on your infrastructure. Not a chatbot. Real systems.
One partner. Software, hardware, and AI.
From the metal in the rack to the agent orchestrating your workflows: we design, build, secure, and run it.
AI Agents
Task-executing agents with tools, memory, and guardrails, wired into your real systems, not sandboxes.
Agentic Systems
Multi-agent orchestration that plans, routes, and self-corrects across long-running enterprise workflows.
Local & On-Prem AI
Private models on your hardware. Zero data exfiltration, full data residency, sovereign inference.
Frontend + Backend
Complex web platforms end to end: modern frontends, resilient backends, APIs, queues, and pipelines.
Hardware & Infra
Servers, racks, storage arrays, networking and GPU nodes, specced, built and racked for the workload.
Security
Hardening, zero-trust, secrets management, audits and monitoring baked into every layer we ship.
CRM Systems
Customer platforms that fit your process: integrated, automated, and enriched with AI insight.
ERP Systems
Finance, inventory, and operations unified. Migrations, integrations, and custom modules that hold up.
Mail & Servers
Carrier-grade mail infrastructure, DNS, deliverability, and Linux/Windows server fleets that stay up.
A workday, automated.
The 8 workloads below automate a workday end to end: invoice matching in the ERP, ticket triage from your own knowledge base, anomaly watch on the plant floor, runbook execution in IT. Not chat windows: agents wired into the systems you already run, each with approval gates, audit logs, and a human in the loop where it matters.
Invoice & AP automation
Reads invoices, matches POs, posts to your ERP. Exceptions go to a human; everything else just happens.
Ticket triage & drafting
Classifies, routes, and drafts replies from your own knowledge base. Agents propose; your team approves.
Anomaly watch
Correlates sensors, logs, and ERP events around the clock, and escalates before a failure reaches the line.
Document analysis
Contracts, policies, and filings extracted, summarized and cross-checked. Nothing leaves your network.
CRM enrichment
Meeting notes become CRM fields, follow-ups get drafted, pipeline hygiene stops depending on discipline.
Internal answers
Policy and handbook questions answered in your chat tool, with sources cited, not invented.
Runbook automation
Diagnoses alerts and executes pre-approved runbooks. Every action logged, rollback ready.
Reporting agents
Plain-language questions over your warehouse. SQL generated, validated, and run locally.
We speak your whole stack.
From pixel to kernel: frontends, backends, data, infra, AI, and the OS underneath. Pick a layer. We've shipped it in production.
Frontend
Backend
Data
Infra & DevOps
AI / ML
Systems
Everything inside your perimeter.
Every one of the 7 layers inside your perimeter runs on hardware you own: vLLM or Ollama serving Llama, Mistral or Qwen, the vector DB, the orchestrator, the guardrails and the audit log. Nothing leaves the network: no cloud API call, no vendor holding your corpus.
Every layer below the dashed line lives on your infrastructure. What that buys you:
Measured in uptime, not slideware.
Twenty-six years of shipping, quantified. Live figures from the systems we run today.
From audit to running in production.
No year-long discovery theater. Four steps, each ending with something you keep.
Audit
We map your stack, data, and constraints, then find the fastest safe path to value.
Architect
A blueprint spanning software, hardware, security, and AI, sized for your scale.
Implement
We build and integrate in tight increments, with your team in the loop the whole way.
Operate
HA, monitoring, and 24/7 support. We run it, tune it, and keep it ahead of demand.
Most AI pilots die before production.
Not because the models fail. Because everything around them was never built.
The demo owner leaves
A pilot impresses, the consultancy rolls off, and nobody in the building owns the system that's left behind.
Security says no
Cloud-API prototypes die the moment legal asks where the data goes. On-prem was the requirement all along.
Nobody answers at 3am
At 03:00 nobody answers, and the first real incident becomes the project's last: without HA, monitoring and an on-call rota, that outage has no owner. Of the 40+ stalled pilots we were called into since 2023, this is the failure we saw most.
That's why we build the boring parts first: the residency boundary, the failover, the audit trail, the on-call rota. The demo is the easy part. We are built for everything after it.
The difference between a pilot and production.
Swipe the table sideways to compare →
The systems your business actually runs on.
4 system families carry what your business actually runs on: CRM, ERP, mail platforms and large databases, on high-availability hardware we have been shipping since 1999, engineered for scale, secured by default, and now AI-augmented end to end.
No rip-and-replace: agents plug into existing systems through stable APIs.
Results that held up in production.
Agentic ops for a 24/7 plant
On-prem agents triaging sensor data + ERP events, escalating before failures hit the line.
Private LLM, zero data egress
Local inference cluster for document analysis, regulator-approved, with no third-party API.
CRM + ERP unification
Merged siloed systems, added AI forecasting, cut manual reconciliation to near zero.
A quarter century ahead of every shift.
A quarter century, 5 shifts: server rooms 1999, data centers 2007, cloud 2014, zero-trust 2020, on-prem AI 2026. Same team through all five. We wired server rooms before the cloud, rebuilt for the cloud, and now run models on your own metal.
Server rooms, networks & custom software for regional enterprises.
HA clusters, large DBs & mail platforms at carrier scale.
Hybrid architectures, DevOps, and web-scale backends.
Zero-trust, compliance, and hardened enterprise delivery.
Agents, agentic systems & local models on your own metal.
Start small. Scale to production.
Three ways to work with us: de-risk first, then build and run at enterprise scale.
Discovery Sprint
A Discovery Sprint runs 2–3 weeks and ends with 2 documents you own: an architecture blueprint and a costed roadmap, typically 15 working days from kickoff. Fixed scope, fixed price, no obligation to build with us.
- Systems & data audit
- Risk & residency review
- Architecture blueprint
- Costed roadmap
Full Implementation
Full Implementation ships in 2-week increments with your team in the loop: agents, on-prem or cloud infrastructure, CRM · ERP · mail · databases, and the security hardening around them. 640+ systems delivered since 1999.
- Agents & agentic pipelines
- On-prem / cloud infra
- CRM · ERP · mail · databases
- Security hardening & QA
Managed Operations
Managed Operations has held a 99.99% SLA across every estate we run (Source: IGM Group Operations report, 12 months to 30 June 2026). HA, monitoring, patching, tuning and a 24/7 NOC keep everything ahead of demand.
- 99.99% SLA
- 24/7 NOC & on-call
- Patching & tuning
- Capacity planning
Answered before you ask.
Can the AI run entirely on our own hardware?
Do you handle both the software and the physical infrastructure?
What about our existing CRM, ERP, and mail systems?
How do you guarantee uptime?
Linux or Windows?
How fast can something be live in production?
What does an engagement cost?
Which models do you run?
Do we need GPUs?
How do you stop AI mistakes from reaching production?
Ready to implement, not experiment?
A 30-minute architecture call is where implementing starts instead of experimenting. Tell us what you're building; bring your stack, your data-residency rules, and your hardest constraint, and we'll show you the shortest path to production.