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01 / 05
Recruitment Automation Platform
Automates candidate sourcing & screening with AI, cutting manual review time significantly.
Next.jsOpenAIPostgresWorkers
View case study→AI product studio
We build AI products & platforms — not just promises.
A team of engineers who've shipped voice agents, ML automation, and AI-native tools from scratch. See the proof below.
Trusted by teams building the next generation of AI products
“Shipped a production voice agent in weeks, not months.”“They build like a product team, not an agency.”“Nuestro mejor partner técnico hasta ahora.”“The eval harness alone paid for the project.”“Shipped a production voice agent in weeks, not months.”“They build like a product team, not an agency.”“Nuestro mejor partner técnico hasta ahora.”“The eval harness alone paid for the project.”
Voice agentsRAG systemsML pipelinesLLM toolingAgent infraEdge AIVoice agentsRAG systemsML pipelinesLLM toolingAgent infraEdge AI
Products
Five builds, shipped end to end.
Placeholder demos below — real screenshots and case studies land as they're ready.
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02 / 05
AI Presentation Generator
Generates polished, on-brand slide decks from a prompt — Gemini-style AI PPT creation.
GeminiReactCanvasEdge
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03 / 05
ML Automation Platform
End-to-end pipeline for building, training, and deploying ML models without manual ops overhead.
PythonRayMLflowK8s
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04 / 05
AI Voice Agents Platform
An n8n-style builder for creating and deploying custom voice AI agents.
LiveKitDeepgramLLMWebRTC
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05 / 05
DevOS (hackathon build)
An open-source isolated dev environment controlled by a central AI agent — built live at [Hackathon Name].
DockerAgentsGoOSS
View case study→Services
Productized packages, fixed price.
Scoped engagements with a clear timeline and a working product at the end.
AI MVP Sprint
From idea to working AI product.
Fixed price· 4–6 weeks
- —Discovery + scope workshop
- —Production-ready MVP build
- —Deployment & handover
- —2 weeks post-launch support
most popular
LLM/RAG App Build
Custom AI app powered by your data.
Fixed price· 3 weeks
- —Data ingestion & chunking pipeline
- —Retrieval + eval harness
- —Chat / API surface
- —Cost & latency tuning
Voice Agent Deployment
Launch a production-ready AI voice agent.
Fixed price· 2–4 weeks
- —Telephony + realtime stack setup
- —Prompt & tool design
- —Call analytics dashboard
- —Monitoring & guardrails
Process
How we work.
Four stages, weekly shippable output, no black boxes.
Discover
We pressure-test the idea, map the workflow, and define what success looks like in numbers.
01Design
Architecture, model choices, and interface flows — decided before a line of production code.
02Build
Weekly shippable increments. You see working software, not status decks.
03Ship & Support
Deploy, instrument, and iterate with evals and monitoring in place from day one.
04Team
Engineers who ship.
Small senior team — the people you meet are the people who build.
Case studies
Problems, approach, outcomes.
Real client work — some details anonymized while packaging is in progress.
Problem
Support queue overloaded with repetitive qualification calls.
Approach
Deployed a bilingual voice agent with CRM tool-calling and live handoff.
Outcome
Majority of inbound calls resolved without a human touchpoint.
Entregaron un agente de voz en producción en semanas, no meses. El equipo entiende el producto, no solo el modelo.
Build in public
What we're shipping this week.
Hackathon logs, engineering notes, and posts from the team.
Contact
Tell us what you're building.
Book a 30-minute call and we'll tell you honestly whether AI is the right answer — and what it would take to ship.
Scheduler not loading? email@olvix.io