AI patient intake
Faster triage
Retrieval-augmented classifier inside an existing intake web app. Routes multi-condition cases correctly with citations.
/ Resser Solutions·AI engineering
We ship production AI features inside web and mobile software for serious B2B teams. No demos, no lock-in.
Industries shipped to
9 verticals · global delivery
The thesis
Teams treat the LLM call as the hard part. It is not. The hard part is the system around the call: integration with your CRM, ERP, and database, eval that catches regressions, retry logic, cost ceilings, prompt versioning, observability.
We build the system around the call from day one. Real integrations from week 1. Eval before deploy. Cost telemetry before scale. The first thing we ship is the evaluation suite that proves the feature works.
No eval, no production.
System around the model call
Eval suite
Catches prompt and model regressions before deploy.
Retry & fallback
Graceful degradation when the primary model rate-limits or errors.
Cost telemetry
Per-request, per-session, per-cohort cost caps and alerting.
Observability
Traces, latency, prompts, completions. Auditable in production.
Integration
Real wiring to your CRM, ERP, database, and document stores.
Prompt versioning
Every prompt change is rollback-safe and runs the eval suite in CI.
→ What we build
Each maps to one of Resser's six offerings. Click through for examples, stack details, and engagement options.
Full-stack web apps with AI inside the product. AI-native SaaS, customer portals, copilots inside your existing software.
Native iOS, native Android, or cross-platform. On-device inference when privacy demands it. Cloud when capability demands it.
Bespoke business software where AI is a feature, not the product. Includes our 3-week AI MVP path for funded teams.
Custom code-first automation. Not Zapier. Document review, intake triage, multi-system orchestration, compliance.
Plug AI into the software that runs your business. SAP, Dynamics, Salesforce, NetSuite, Odoo, internal Postgres + SQL Server.
Self-hosted LLM deployments. EU data residency, VPC-isolated, on-prem GPUs. Llama, Mistral, Qwen on vLLM.
How we work
Just the work in the order we do it.
1 week, fixed price. Spec, integration map, eval plan, cost model. Yours either way.
2-3 weeks. Working slice in your environment, real integration, eval suite live by week 2.
2-6 weeks. Eval in CI, cost telemetry, prompt versioning, observability, runbook.
Your team owns it. We stay on retainer if useful. No proprietary middleware. No lock-in.
What we've built
Three projects we've shipped, anonymized. Industry, what we built, the stack. Full case studies with names available after a scoping call.
Faster triage
Retrieval-augmented classifier inside an existing intake web app. Routes multi-condition cases correctly with citations.
Cited answers
Hybrid-retrieval agent embedded in the field technician portal. Refuses to answer when no source meets the threshold.
Inside the VPC
Open-weights LLM on customer-owned GPUs. Audit log on every decision, human-in-the-loop preserved.
→ Pricing
€10k - €25k
AI feature inside existing software
€25k - €50k
Multi-feature LLM integration, eval, observability
€50k - €100k
Custom AI web or mobile app, real integrations
€100k+
Private AI infrastructure, on-prem, sovereign cloud
Discovery week (fixed fee, low five figures) gives a defensible number before you commit. Request a project estimate to start.
FAQ
A real production AI build rarely lands under €25,000. A small but production-grade AI feature added into an existing system can start at €10,000-€25,000. A custom AI web app with real integration usually sits in the €50,000-€100,000 range. A private-AI deployment with on-prem infrastructure is typically €100,000+. Discovery week gives a defensible number before you commit.
Three weeks from kickoff to a working MVP in your environment is typical for a focused scope. The eval suite is live by week 2; the deployable slice is live by week 3. Stretch projects with custom data work or unusual integrations run 4-6 weeks.
We build conversational AI features when they live inside a real business system: a CRM copilot, an internal knowledge agent, a sales-ops assistant. We do not sell standalone FAQ bots. If you need a tiny standalone chatbot under €10,000, we will point you to a no-code tool that fits.
Yes. We have integrated AI features into SAP, Dynamics, Salesforce, NetSuite, Odoo, and custom in-house systems backed by Postgres and SQL Server.
Yes. We deploy open-weights LLMs (Llama, Mistral, Qwen) on your hardware via vLLM, with the production patterns the closed-source providers have already proven.
Yes. Most engagements run as a small Resser team alongside your engineers. Code review goes both ways. Your team learns the eval discipline and the production patterns we use. By handover, your engineers maintain the system without us.
Claude Sonnet for most multi-step reasoning. GPT-4o or o-series for structured extraction at scale. Open-weights (Llama, Mistral, Qwen) when data residency or unit economics demand it. The right model depends on the eval, not the brand.
You fill in a few details about your project. We reply within one business day with a preliminary scope, a rough budget, and a 30-minute scoping call invite. 14 fields, 3 steps, under 5 minutes.

Who you talk to
Alen Žarković, founder & lead engineer
Founder of Resser Solutions. Building production software for 15+ years, leading AI engagements end-to-end since 2022. Resser has shipped 28+ AI projects and 17 mobile apps to production.
Founded 2018·EU based·Global delivery
→ Start a project
Tell us what you want to build. We come back within one business day with a preliminary scope, a rough budget bracket, and a scoping call invite if it looks like a fit.
Budgets start at €10,000 · Up to €100,000+ · Reply within one business day