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Disclaimer: The indicators and market analyses provided by MomentumQ GmbH do not constitute a financial service, in particular investment advice, an offer or solicitation to buy or sell financial instruments. The information is provided for informational purposes only and does not replace personal advice. Despite careful review, no guarantee is given for accuracy, completeness, or timeliness. Past performance is not an indicator of future results. Investments involve risks, and a total loss of capital invested is possible. Use of the information is at your own risk.
Off-the-shelf AI tools answer generic questions. We build AI that knows your documents, talks to your APIs, and replaces real workflows. RAG systems, agentic automations, and internal assistants — integrated into the product you already run.
We don't do open-ended "AI consulting". Each engagement maps to a concrete deliverable with a fixed scope and timeline.
Your documents become a queryable knowledge base. Internal wikis, support docs, contracts, research notes — ingested, embedded, and made searchable through natural language.
Stack: Postgres + pgvector or LanceDB, OpenAI / Voyage embeddings, Claude or GPT for generation.
A chatbot trained on your data, with access to your tools and APIs. Replaces "hey can someone help me with..." in Slack with a 2-second answer that's actually correct.
Deployed on your infra or ours. SSO, audit logs, and role-based access included.
Multi-step automations: read incoming emails, classify and route them, draft replies, hit external APIs, log to your CRM. The kind of work that used to need a junior employee.
We use the right tool for the job — Claude Agent SDK, LangGraph, custom Python, or n8n. No cargo cult.
You're not sure if AI fits your business yet? A short engagement maps your workflows, identifies the highest-ROI place to inject AI, and either we build it or hand off the plan to your team.
Outputs: written audit, prioritized roadmap, ROI estimate per use case.
A real assistant, grounded in your data. Cited answers, a confidence threshold that escalates instead of guessing, and a per-query cost line you can defend to finance. Boring on purpose — that’s what makes it ship.
What’s the SLA credit if our hosted plan is down 4 hours in one billing cycle?
Per your MSA, hosted-plan downtime over 60 minutes inside a single billing cycle triggers a 10% credit[1]. A 4-hour outage falls into the major-incident tier[2], which adds 20% — total credit: 30% of that month’s invoice.
The honest version: AI doesn't fix everything, but it's excellent at a few specific things. These are the engagements we've seen the highest ROI on.
Train an assistant on your FAQs, docs, and past tickets. It handles the 60% of questions that have known answers and escalates the rest. Saves human-hours, doesn't cost customer satisfaction.
Upload a 200-page contract or 50 research papers; ask questions in plain language and get cited answers. Used in legal, real estate, due diligence, academic research.
AI reads inbound emails or form submissions, qualifies the lead, drafts a tailored reply, schedules the call. Your sales team only sees pre-qualified opportunities.
Notion, Google Drive, Slack history, and a dozen other sources unified into one search interface. Find the answer once instead of pinging three colleagues.
Pull structured data from PDFs, scanned forms, emails, or web pages. Output clean JSON ready for your database. No more manual data entry.
The repetitive 30-minute tasks across your week, automated end-to-end. Email triage, report generation, status summaries, escalation routing.
Claude (Anthropic), GPT (OpenAI), open-source via vLLM or Ollama for on-premise. Embeddings: Voyage, OpenAI, BAAI/bge.
pgvector (Postgres-native, our default), LanceDB, Qdrant, or Pinecone — depending on scale and infra constraints.
Claude Agent SDK, LangGraph, custom Python or TypeScript pipelines. Tool-use, retries, cost monitoring all baked in.
Vercel, AWS, Cloudflare Workers, or your own infrastructure. EU data residency available on request.
Not theoretical. We've built and shipped LLM-powered workflows that handle real load and real cost constraints.
EU-based, GDPR-aware. We can deploy fully on-premise with open-source models if your data can't leave your network.
Prompt caching, model routing (cheap for simple queries, expensive for hard ones), and observability so you know your AI bill at the end of the month.
LLMs hallucinate. We design around that with citations, confidence scoring, and human-in-the-loop checkpoints where the cost of being wrong is high.
1-week engagement. We map your workflows, identify the top 3 AI opportunities, deliver a written roadmap with ROI estimates. Fixed price.
The most common engagement. Defined deliverable, fixed timeline, fixed price. Discovery → scope → build → ship. Typical range: 3 to 8 weeks.
For shipped products that need ongoing iteration. Monthly block of hours, prioritized backlog, direct access. Cancel any time after the first month.
30-minute discovery call, free. We'll tell you whether AI is actually the right tool for your problem and what it would cost to build — honestly.