Space-grade engineering • Local & cloud • EU-compliant

We build AI systems that run your business

Private local models, autonomous AI agents, and end-to-end automation — designed like mission-critical infrastructure.

Mission-ready
Evals, security, fallbacks, monitoring.
Vendor-agnostic
Open-source + best-in-class APIs.
Privacy-first
Local/on-prem and GDPR-ready.
Typical mission outcomes
2–8 weeks to first impact
Private AI Knowledge Assistant
RAG over internal docs, role-based access, citations.
Local/Hybrid
Autonomous Ops Agent
Handles tickets, updates CRM, drafts replies, escalates.
Agents
AI Workflow Automation
Email → extraction → approval → action across systems.
Automation
AI Features in Your Product
Copilots, search, voice, vision, personalization.
Product
Telemetry, safety checks, and cost controls included.
Explore services →
Designed to dock with your stack
APIs, CRMs, knowledge bases, and data warehouses — plug-in ready.
Docking
Integrations
Slack / Teams
Google Workspace
HubSpot / Salesforce
Postgres / MySQL
Notion / Confluence
Custom APIs
Full-scope AI consultancy

Everything you need to go from AI idea → production system.

Strategy, infrastructure, models, agents, automation, and ongoing operations — delivered like mission engineering.

01 • Strategy & Advisory
Roadmap
Plan the mission.
  • • Opportunity mapping & ROI prioritization
  • • Make vs buy (APIs vs open-source vs custom)
  • • Architecture design & rollout plan
  • • GDPR / EU AI Act considerations
  • • Stakeholder training & adoption planning
02 • Agents
Autonomy
Deploy crews of agents.
  • • Task & role-based agents (support, ops, research)
  • • Multi-agent orchestration (delegate, verify, escalate)
  • • Tool use: APIs, DBs, CRMs, internal apps
  • • Human-in-the-loop approvals where needed
  • • Safety: constraints, policies, and audit trails
03 • Local & Private AI
On-prem
Keep data in your orbit.
  • • Local LLM deployment (GPU/CPU optimized)
  • • Air-gapped & secure inference endpoints
  • • Hybrid setups (local + cloud fallback)
  • • Quantization, batching, caching, throughput tuning
  • • Access control & compliance-friendly logging
04 • RAG & Knowledge
Search
Navigate with citations.
  • • Document ingestion (Drive, Notion, Confluence)
  • • Vector DBs + hybrid search
  • • Permissions, multi-tenancy, and redaction
  • • Citation grounding & answer verification
  • • Continuous updates + freshness controls
05 • Automation
Ops
Autopilot workflows.
  • • Email → extract → route → approve → act
  • • Document processing (invoices, contracts, forms)
  • • Event-driven automations (webhooks, schedulers)
  • • AI + rules + human approvals
  • • Auditable logs and failure recovery
06 • AI Product Dev
Build
Ship AI into products.
  • • AI copilots, chat, voice, vision features
  • • APIs & microservices for AI capabilities
  • • Fine-tuning, evals, and model selection
  • • UX patterns for safe & useful AI
  • • Deployment, monitoring, iteration

Solutions that create measurable impact.

Clear, concrete systems — built around your workflows, your data, and your security requirements.

Discuss your use case
Customer Support Automation

Triage tickets, draft responses, update CRMs, escalate edge cases.

Back Office & Document Processing

Extract fields, validate data, and route approvals automatically.

Internal Knowledge & Search

Find answers fast — grounded in your docs with citations.

Sales & CRM Intelligence

Summaries, follow-ups, lead research, pipeline hygiene — automated.

Operations Agent for Teams

An agent that runs recurring tasks, reconciles data, and reports status.

AI Features in Your Product

Embed copilots, search, voice, and personalization into your app.

Signal scan
Use-cases detected
Support Docs Ops Sales Product
We identify the highest-signal workflows first — then automate with guardrails, approval gates, and reliable telemetry.
Engagement model

Senior AI engineering —
no juniors, no experiments.

We operate like a mission team, not a staffing agency. You get senior-level AI systems engineers focused on outcomes, reliability, and long-term maintainability.

Strategy, architecture, build, and deployment — end to end
No handoffs, no juniors, no “prompt-only” work
Local, private, or cloud systems — built for production
Our rate
$475/hr
Minimum engagement
80 hours
Senior-only team
Production focus
Clear milestones
No vendor lock-in
Most clients use the first 80 hours for discovery, architecture, and a working production prototype.

Built with modern, battle-tested AI engineering.

We choose tools based on privacy, accuracy, latency, and total cost — not hype.

Models

Open-source LLMs, private deployments, and best-in-class APIs when appropriate.

Agent Orchestration

Tool-using agents, workflows, retries, approvals, and policy enforcement.

Data & Retrieval

Reliable knowledge systems with permissions and citation grounding.

Infrastructure

Local/on-prem, cloud, or hybrid — optimized for cost and latency.

Security & Compliance

Prompt injection defenses, data protection, and policy-driven access.

Reliability & Observability

Evals, monitoring, and fallbacks so AI stays dependable over time.

Stack orbit
Components
Models
Agents
Retrieval
Observability
Each layer is swappable — we design the orbit so you can evolve without rewrites or vendor lock-in.

FAQ

Quick answers to common questions from teams building serious AI.

Can you run everything locally (no cloud)? +

Yes. We can deploy local LLMs and private retrieval systems on-prem or on dedicated hardware. We can also use a hybrid setup with cloud fallback for peak loads.

What’s the difference between a chatbot and an agent? +

A chatbot answers questions. An agent can also take action — call tools, update systems, follow workflows, request approvals, and keep state/memory across tasks with guardrails.

How do you reduce hallucinations? +

Grounded retrieval (RAG), strict tool-based actions, structured outputs, validations, and evals. For high-stakes flows, add approvals and confidence thresholds.

Do you integrate with our existing tools? +

Yes — CRMs, databases, helpdesks, internal APIs, and productivity suites. We design around your current workflows so adoption is straightforward.

Star chart
Guidance
We help you choose the right route: local vs cloud, RAG vs fine-tune, agents vs workflows — based on signal, risk, and cost.

Let’s build AI that actually works.

Tell us what you’re trying to achieve — we’ll suggest the fastest path to a secure, reliable system.

Availability

We’re fully booked right now, but we’re happy to line up the next mission. Our next available start date is:

March 23, 2026

If your timeline is urgent, send details anyway — we can sometimes open a slot for the right mission.

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(404) 900-5777
Mon–Fri · 10AM-10PM (CET)
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hello@pr0.ai
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