Services
Services and pricing
Formare AI prices AI engineering work in three ways: a day rate of €600–€900, fixed-scope projects from €8,000, and retainers from €4,500 per month. A single AI agent with 5–10 tools deployed on Cloud Run typically takes 2–3 weeks; a full multi-agent system with a React frontend and production infrastructure takes 6–10 weeks, and most engagements run 2–12 weeks. The 30-minute discovery call is free, a written proposal with scope and milestones follows within 48 hours, and every project ends with a handover that includes documentation, runbooks, cloud credentials and 30 days of email support. Formare AI is based in Bucharest, Romania, and works with clients worldwide; rates are quoted in euros, and VAT may apply.
Services
What we build
Across the AI stack, from Gemini agents to BigQuery pipelines to production web platforms.
Entry package
4-Week AI Strategy & Architecture Audit
Not sure if you need agents, a pipeline, or just a cleaner data model? We audit your current setup, map what's achievable on your stack, and deliver a written architecture plan, prioritised by ROI rather than technical interest. No vendor bias. Most clients move to a build engagement after this.
From €8,000
4 weeksfixed scopewritten deliverable
AI Agent Development
Automate workflows too complex for rules, too costly to staff
Your team has tasks that need judgment, not just logic: routing decisions, multi-step lookups, dynamic API calls. We build AI agents that handle them autonomously, with persistent state and production reliability on Google ADK and Cloud Run.
- Multi-agent systems with Google ADK
- Gemini function calling & agentic loops
- A2A (Agent-to-Agent) protocol
- MCP server development
- FastAPI + Cloud Run deployment
Multimodal & Voice AI
When text search fails: image, voice, and context
Customers who can't find what they want in three clicks leave. We build search and interaction systems that understand images, voice, and context: Vertex AI embeddings for sub-300ms visual search and the Gemini Live API for real-time voice, all production-deployed.
- Vertex AI multimodal embeddings
- Vector Search (<300ms, >95% recall)
- Gemini Live API (WebSocket audio)
- Real-time STT + TTS pipelines
- Chrome WebMCP tool surfaces
Data Engineering & Analytics
Your data exists. Make it accessible to everyone
Most companies have years of data in BigQuery that only two senior engineers can actually query. We build the infrastructure that changes that: NL→SQL agents, automated data catalogs, and knowledge graphs that surface relationships your dashboards miss.
- BigQuery pipeline design & deployment
- NL→SQL multi-agent systems
- Knowledge graph construction (Neo4j)
- Self-hosted data catalogs (FastAPI + GKE)
- Vertex AI Feature Store integration
Retail & E‑Commerce AI
Better product discovery, from visual search to merchandising agents
Bad product search kills conversion. We build AI merchandising systems that lift search precision by 15–25%: multimodal product matching, intelligent substitution engines, and re-ranking that learns from real purchasing signals.
- Vertex AI Vector Search + Ranking API
- Multimodal product similarity
- AI merchandising agents (ADK)
- Real-time Feature Store (<2ms)
- Brand search optimization
Full-Stack AI Applications
The full product, not just a Python script
Most AI projects die as Jupyter notebooks. We build the complete platform: React frontend, Python backend, database, payments, auth, and AI at the core. Production-hardened on Cloud Run, documented, and fully handed over. You own it.
- React 19 + TypeScript + Tailwind CSS
- FastAPI or Express backends
- PostgreSQL / Cloud SQL on GCP
- Stripe, Google Maps, Calendar APIs
- Docker multi-stage + Cloud Run deploy
AI Content & Automation
Consistent content output without a full editorial team
Publishing high-quality content at scale takes a team you may not have. We build pipelines that do it automatically: research with source verification, Gemini-powered generation, and publishing to WordPress or LinkedIn, running daily on Cloud Scheduler without you touching it.
- WordPress blog automation (V9 prod)
- LinkedIn content agent + MCP server
- Newsletter AI with Search grounding
- CRAAP test source verification
- Daily Cloud Scheduler runs
Pricing
Transparent, with no retainer lock-in.
- Day rate
- €600 – €900
- Flexible blocks, hourly or daily
- Fixed project
- From €8,000
- Scoped after the discovery call, paid in milestones
- Retainer
- From €4,500/mo
- Priority access and ongoing AI engineering support
All rates in EURVAT may applyThe discovery call is always free.
Process
From first call to production
A predictable process for founders and engineering leads who need it done right the first time.
Discovery call
30 min, free
Tell us what you're building. We'll tell you if it's feasible, what stack fits, and what it will cost. We'll also tell you if GCP is overkill for your use case — most consultants won't.
Proposal
Within 48 hours
Clear scope, milestone breakdown, and a fixed price or day-rate. No vague estimates, no surprise invoices. You know exactly what you're getting.
Sprint delivery
2–12 weeks
Working code from week one, not a demo on the last day. Cloud Run deployments happen in the first sprint so you're testing against real infrastructure, not a localhost mock.
Handover
30-day support included
Full documentation, runbooks, cloud credentials, and 30 days of email support after delivery. You own everything: code, infrastructure, and knowledge.
FAQ
Questions we get asked
Cost, timelines and fit, answered before the first call.
How much does it cost to hire an AI engineering team for a Google Cloud project?
Formare AI's rates are €600–900/day or from €8,000 for a fixed-scope project. Retainers start from €4,500/month. The discovery call is always free. Rates reflect senior-level Google Cloud and Gemini specialization with enterprise production experience.
How long does an AI agent development project take?
Most projects run 2–12 weeks. A single AI agent with 5–10 tools and Cloud Run deployment is typically 2–3 weeks. A full multi-agent system with a React frontend and production infrastructure runs 6–10 weeks. Scope is always defined before any work begins.
Can Formare AI integrate with our existing Google Cloud infrastructure?
Yes. We regularly integrate with existing BigQuery datasets, Cloud Run services, Vertex AI resources, and GCP IAM configurations. The discovery call is specifically for understanding your current stack before scoping begins.
What makes Formare AI different from other AI consultancies?
Formare AI builds production systems, not prototypes: 15+ shipped AI systems across retail, transport, energy, hospitality, and media, all deployed on Google Cloud, GDPR-compliant, documented, and fully handed over to the client. We take on a limited number of engagements at a time so every project gets senior attention.