Hjalpari.ai installs tailored, multimodal AI agents on a local appliance inside your office — automating invoicing, RFPs, warranty claims and customer service without your data ever leaving the building.
Hjalpari is the Old Norse word for helper. We build helpers that quietly take the repetitive, document-heavy work off your team's hands — so your people can focus on judgement, relationships and the work only humans can do.
Each helper is configured to your team's templates, vocabulary, approval rules and exception cases — on a shared platform we keep improving. Custom-fit, but not built from scratch.
Models, prompts, documents and audit logs all stay inside your network on the Hjalpari Edge appliance. No public cloud, no token billing, no data leaving the building — ever.
From discovery to a working helper in 6–10 weeks. We deliver a managed service, not a toolkit: your team gets the result, while we run the model, integrations, monitoring and updates.
Helpers handle the routine and route exceptions to humans with a full briefing. Every action is logged, explainable and reversible — trust is built in, not bolted on.
We install a small AI appliance in your office and connect it to the systems your team already uses — ERP, email, document store, ticketing. Each helper is a department-specific agent that runs on top.
We start with a one-week discovery in your department to map the workflow, data sources and exception cases. We then deploy the Edge appliance, connect your systems, fine-tune the helper on your own documents, and run a 4-week shadow pilot before going live.
Once live, each helper processes documents, drafts replies, triggers ERP transactions and routes anything uncertain to your team with a full briefing. We monitor, retrain and quarterly tune everything as a managed service.
70–85% straight-through
DSO down 6–12 days
50–70% effort saved
Reply in < 5 minutes
4 days → 24 hours
Local AI used to be a research curiosity. This year it became boardroom-grade. We are at the rare intersection of capability, regulation and demand.
Open-weight multimodal models now match GPT-4-class quality on document tasks — and they run on a single workstation GPU. Cost per token is dropping ~70% per year.
The EU AI Act creates real obligations for high-risk use cases. GDPR enforcement keeps growing. Boards are actively choosing on-prem partners over cloud generalists.
European companies are short on back-office staff and long on repetitive work. They want a managed outcome, not a toolkit — the buying motion Hjalpari is built for.
Hjalpari is founded by operators who have shipped industrial software, led applied-ML organizations and run finance transformation programs at scale. We know the customer because we have been the customer.
CEO & Co-founder
15+ years in B2B SaaS and industrial software. Prior P&L ownership of a €30 m+ business. Deep network across the DACH Mittelstand. Sets product strategy and runs the commercial team.
CTO & Co-founder
10+ years in applied ML. Previously led AI engineering at a European LLM scale-up where she built production multimodal pipelines. Owns the platform, the runtime and the model strategy.
COO & Head of Delivery
Former Big-4 advisory partner specialised in finance transformation. Two decades of program management experience across manufacturing, services and energy. Runs every customer deployment.
Tell us a little about your department and the workflow you’d most like to take off your team’s plate. We’ll come back within two business days with a proposed 60-minute discovery call.
Hjalpari.ai is a young company in formation. Until we open our Munich office in late 2026, we’re reachable directly by email — usually within the same business day.