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.
Building a Production AI Employee: From BDR to Collections, Approval First
QuickBooks and Xero connected, approval first autonomy in production
A confidential client engaged HouseofMVPs to build Owendly, an AI employee for accounts receivable that connects to QuickBooks, drafts collection messages in the owner's voice, and earns autonomy instead of assuming it. The same production pattern applies to any role: BDR, SDR, customer support, operations. A reference build for anyone hiring an AI agent development company.
Automation Reliability Platform: Catching Workflows That Lie
Silent failure detection with approval gated self healing
A confidential client engaged HouseofMVPs to build TrueGreen, a reliability control plane for n8n that catches automation runs which finish green but did nothing, verifies real outcomes in the downstream tools, and heals failures behind an approval gate. A reference for anyone hiring a team to build custom automation monitoring or internal developer tooling.
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.
Frequently Asked Questions
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