Private AI infrastructure, deployed for your business.
Purpose-built hardware. Workflow-optimized models. Production-ready software. One integrated system, live in weeks.
30-minute call. No commitment. We'll assess your workload and model your costs.
Cloud AI means variable costs, data leaving your premises, and dependency on providers who can change terms overnight. For some teams, that's not a trade-off — it's a non-starter.
Banking & capital markets
Trading desks and credit teams that handle material non-public information — where one mishandled prompt is a regulatory event.
Healthcare & life sciences
Hospitals, payers, and pharma running on patient records and trial data that legally cannot touch a third-party inference endpoint.
Defence & aerospace
Primes and tier-1 suppliers working under export-control regimes where 'we used a foreign API' ends contracts and clearances.
Law & professional services
Firms whose business model rests on attorney-client privilege, audit confidentiality, or M&A secrecy that survives a subpoena.
Industrial R&D
Manufacturers, semiconductor designers, and energy firms whose process IP is a decade of competitive advantage they refuse to upload.
Public sector & critical infra
Agencies, utilities, and operators of essential services where data residency is statute, not preference — and uptime is sovereign.
If your data can't leave the building, your inference shouldn't either. That's where we come in.
Three layers, designed for each other.
Hardware, models, and software shipped as one integrated system — so your team uses it instead of maintaining it.
Purpose-selected silicon, burned in by us.
Hardware specified to your workload, not your guess at it. 96-hour burn-in before it leaves the floor; a serial, a calibration sheet, and a name etched on the chassis.
- ✓ Hardware matched to your actual workload
- ✓ Pre-validated configurations, tested before delivery
- ✓ Setup, integration, and burn-in handled by us
- ✓ On-premises — your hardware, your premises
Open weights, tuned to your workflows.
Foundation model post-trained on the categories of work your team actually does. We benchmark against your task suite, not generic leaderboards — and the weights are yours, perpetually.
- ✓ Open-weight models, selected for your tasks
- ✓ Fine-tuned on your task suite
- ✓ You control the weights — always
Production-ready, day one.
OpenAI- and Anthropic-compatible API surface, so your existing integrations work unchanged. Sandboxed tool execution, signed audit log, single-binary deploy. Your team uses it. We maintain it.
- ✓ OpenAI / Anthropic API compat
- ✓ Sandboxed tool exec · MCP
- ✓ Signed, tamper-evident audit log
"model": "ikioma-32B",
"messages": [/* ... */],
"tools": ["fs", "erp", "sql"]
}
You don't need to figure this out yourself. We already have.
The middle path — independence without the engineering overhead.
You've already decided you want private AI. The remaining question is whether to build it yourself.
| OPT.A Cloud AI | OPT.B DIY private AI | OPT.C ikioma ↓ best fit | |
|---|---|---|---|
| Data location | ×Third-party servers | ✓Your premises | ✓Your premises |
| Time to deploy | ~Immediate, but dependent | ×6–12 mo | ✓weeks |
| Expertise required | ~API integration | ×ML eng + DevOps team | ✓None |
| Cost model | ×Variable · per-token | ~High capex + maintenance | ✓Fixed · predictable |
| Ongoing risk | ×Vendor dependency | ×Entirely on your team | ✓Supported + updated |
| Rate limits | ×Yes | ✓No | ✓No |
| Model control | ×None | ~Full, but complex | ✓Full, managed for you |
Four steps. Mostly ours.
The path is finite, the timeline is short, and you don't carry the engineering load.
We learn your workload.
Your data requirements, team capabilities, integration surface. We come prepared; you walk away with a costed scenario.
We design the system.
Hardware specified, model fine-tuned for your tasks, software stack configured against your existing systems. You approve the spec sheet.
We install on your floor.
Appliance arrives, racks, burns in, tests against your acceptance suite. Your team is in the room — knowledge transfer happens at install.
You run it. We back it.
Your team uses AI on your terms. We handle model updates, security patches, and performance tuning under a named-engineer SLA.
We built what we couldn't find.
Since 2023, we've worked with models from every major provider, tested hardware from prosumer to cloud-grade, and shipped AI-powered products in production. The hardest part of private inference isn't the technology — it's the logistics of assembling it into something that just works. ikioma exists to remove that barrier entirely.
Founded by a team with backgrounds in software development and information security. We ship AI-powered products daily — ikioma grew out of our own need for private inference that doesn't require becoming an infrastructure team.
Things people ask before the call.
Modern open-weight models match cloud API performance on the categories of work most businesses care about — document understanding, summarisation, classification, structured extraction, code, agentic tool use. We benchmark against your specific workloads during the deployment call. You see the numbers before any commitment.
We handle it. Model updates, software patches, performance tuning — ongoing support is included for the warranty period. A named engineer owns your account; updates are signed and reversible. You always know what changed and why.
Your system isn't locked to a single model. Swap models, scale out with additional appliances, or retune for new tasks as workloads evolve. You own the hardware; we help you get the most from it. Trade-in credit applies if you upgrade to next-gen silicon.
Private inference is a capital asset, not a subscription line. Most customers break even versus equivalent cloud spend within 4–7 months on typical agentic workloads. On the deployment call, we'll model your specific token volume, response-time targets, and compliance requirements — you'll see the crossover month for your numbers, not ours.
Not ready to rack hardware? Rent the model, not the meter.
For teams running coding agents and autonomous workflows who want private inference today — without the on-prem build. Unlimited inference for a flat monthly fee, hosted in Finland and tuned for the agentic loop.
- ✓ One flat €995/month VAT 0% — no per-token metering, no overage invoices
- ✓ EU data residency · hosted entirely in Finland · never trained on your data
- ✓ Tuned for tool-use, long-horizon tasks and coding loops
/Your AI.
/Your data.
/Your infrastructure.
Every month on cloud AI is another month of variable costs, data exposure, and dependency. See what private inference looks like for your workload.
30-minute call. No commitment. We'll model your specific workload and costs.