Your AI, Your Infra,
Zero Data Leaks
We deploy open source models like Llama 3 and Mistral inside your own infrastructure so your proprietary data never touches a third-party API, your inference costs are fixed, and you stay in full control.
What We Build
Everything required to run a production-grade open source model in your own environment without relying on any external AI vendor.
Measured ROI
80%
Inference Cost Reduction
Teams that switch from GPT-4o to self-hosted Llama 3 for internal tools cut monthly AI spend by up to 80%
35%
Fine Tuning Accuracy Gain
Domain-specific fine tuning improves task accuracy by 35% over prompting a general-purpose model for specialized outputs
100%
Data Privacy Compliance
Zero third-party data sharing means you pass HIPAA, SOC 2, and GDPR audit requirements for AI usage without legal review delays
5x faster
Latency vs Hosted APIs
On-premise inference eliminates round-trip network latency, serving responses 5x faster for latency-sensitive applications
Tech Stack
21 Day Build Timeline
Infrastructure Audit and Model Selection
Assess your existing hardware or cloud setup, select the right base model for your use case, and design the inference architecture.
Model Deployment and Server Setup
Install and configure vLLM or Ollama on your GPU instances, set up model serving endpoints, and validate baseline performance.
Fine Tuning and RAG Pipeline
Prepare your training dataset, run LoRA fine tuning cycles, evaluate outputs against benchmarks, and build the private RAG pipeline.
API Gateway and Integration
Build the inference API wrapper, add auth and rate limiting, and integrate the model into your application or internal tooling.
Performance Tuning and Security Hardening
Optimize quantization settings for cost and speed, harden the inference server, run penetration tests, and validate data isolation.
Deploy and Handoff
Ship to production, configure Grafana monitoring for GPU utilization and cost, deliver runbooks and training docs, begin 30-day support.
Fixed Project Price
$6,00021 day delivery • Full source code • 30 day support
Basic deployments from $3,500 • Enterprise from $18,000
Book a Free Discovery CallSee a Related Project We Built
We built a private RAG application on self-hosted Llama 3 for a client in a regulated industry where no data could leave their VPC. See the full architecture breakdown.
Read the Case StudyProven Results
Real projects. Real numbers. See what we delivered.
AI Support Agent: Resolving 73% of Tickets Without Human Intervention
73% ticket auto-resolution, 4hr → 8min response time
An AI customer support agent that handles Tier 1 tickets via chat and email, resolves 73% automatically, and escalates the rest with full context to human agents.
AI Voice Agent: Automated Appointment Booking via Phone
Missed calls reduced from 40% to 3%, 120 appointments/month booked by AI
An AI phone agent that handles inbound calls for a dental practice, books appointments, answers FAQs, and reduces missed calls from 40% to 3%.
AI Sales Agent: Automated Lead Qualification and Meeting Booking
Lead response time: 4 hours → 90 seconds, qualified meetings up 2.4x
An AI sales development rep that qualifies inbound leads via chat and email, scores them using BANT criteria, and books meetings directly on reps' calendars.
Frequently Asked Questions
Free Estimate in 2 Minutes
Already know your scope? Book an AI Integration Review