Private AI Platform
Your Private AI Platform. Your Rules. Your Code Stays Inside.
Your engineering team is already paying $60–80 per developer per month across GitHub Copilot, Cursor, ChatGPT, and other AI tools — while your source code flows through third-party APIs you don't control.
We deploy a self-hosted large language model tuned for software development, inside your own infrastructure. One platform, unlimited usage, zero data exposure, and a fixed cost that scales with your team — not with your token consumption.
- OpenAI-compatible API — works with VS Code, Cursor, Slack bots, CI/CD
- Codebase-indexed RAG — the model knows your architecture
- Pre-built AI agents for code review, onboarding, testing, incident response
- Departmental usage allocation — IT visibility and internal chargeback
The Sovereignty Stack
Source code, prompts, and responses never leave your infrastructure. Zero third-party API calls.
Fixed monthly or annual fee. Usage grows with your team, not with token consumption.
Your repos, architecture docs, and runbooks are indexed. The model knows your system.
The Real Cost of Fragmented AI Tools
Most dev teams underestimate what they're spending — and what they're giving away.
Current spend — 50-developer team
| Tool | Cost / dev / mo | Team total |
|---|---|---|
| GitHub Copilot | $19 | $950 |
| Cursor / Windsurf | $20 | $1,000 |
| ChatGPT / Claude Pro | $20 | $1,000 |
| Research tools | $10 | $500 |
| Current total | ~$69/dev | $3,450/mo |
| Private AI Platform | ~$40/dev | $2,000/mo |
Plus: code stays inside. Plus: the model knows your codebase. Plus: one bill, not four.
What current tools don't give you
Your source code is sent to third-party APIs on every completion request. Legal and compliance teams often don't know this is happening.
Public models know nothing about your architecture, naming conventions, internal libraries, or business domain. Every context window starts from zero.
Multiple subscriptions, multiple policies, no usage visibility per team or project. Finance sees a dozen separate SaaS line items.
Platform Architecture
Six layers — from your developer's IDE to the GPU — all inside your perimeter.
Every Layer, Explained
Production-grade components chosen for reliability, openness, and best-in-class coding performance.
Developer Experience
Because we expose an OpenAI-compatible endpoint, your developers keep using the tools they already know. VS Code + Continue, Cursor, or any custom Slack bot — zero learning curve, immediate productivity.
API Gateway & Auth
Each department gets its own API key with configurable rate limits and a usage dashboard. IT gets full visibility. Finance gets a single consolidated bill. Audit logs record every query for compliance.
Agent Orchestration
Built on LangGraph, each agent has a defined role, a set of tools it can call (git, file system, search, APIs), and persistent memory across sessions. Agents chain reasoning steps, not just completions.
Model Serving (vLLM)
vLLM is the production standard for serving large language models at scale. It supports continuous batching, PagedAttention for memory efficiency, and delivers OpenAI-compatible streaming responses. We deploy Qwen 2.5 Coder 72B or DeepSeek-V3 — both outperform GPT-4o on most coding benchmarks.
Knowledge Layer (RAG)
We index your repositories, architecture decision records, API docs, and runbooks into Qdrant — a self-hostable vector database. Before every agent response, relevant context is retrieved and injected, so the model answers about your system, not a generic codebase.
Your Infrastructure
The entire stack runs in your AWS VPC, Azure private network, or on-premise servers. Network policies prevent outbound calls. No telemetry, no model training on your data, no shared tenancy. An air-gapped option is available for the highest security requirements.
Pre-Built Agent Library
Ready-to-deploy agents for the most impactful developer workflows. Each one is customized to your stack, tools, and conventions during onboarding.
Code Review Agent
Triggered by PR webhookReviews pull requests against your team's patterns, flags anti-patterns, checks for security issues, and adds inline comments directly in GitHub or GitLab. Understands your existing codebase — not generic best practices.
Saves 30–60 min per PROnboarding Agent
Triggered by Slack / Web ChatAnswers "how does this service work?", "where is X configured?", "why was this decision made?" using your indexed repos, ADRs, and docs. New engineers get accurate answers in seconds instead of waiting for a colleague.
Reduces ramp time 2–4 weeksTest Writer Agent
Triggered on file or diffGenerates unit tests, integration tests, and edge-case scenarios from existing code. Understands your test framework, mocking patterns, and fixture conventions. Runs per-file or across an entire diff at once.
Saves 2–4 hrs per featureIncident Response Agent
Triggered by alert / log queryReads error logs, correlates stack traces with your source code, identifies the most likely root cause, and suggests a targeted fix. Connects to your observability stack (Datadog, Grafana, CloudWatch) to fetch relevant context automatically.
Cuts MTTR significantlyDocumentation Agent
Scheduled or on mergeDetects drift between code and documentation. Generates summaries for new services, updates README files after structural changes, and keeps API docs aligned with actual endpoints — eliminating the documentation backlog.
Eliminates doc driftArchitecture Q&A Agent
Triggered by Slack / Web Chat"Can I add a new service here without breaking X?" The agent queries your dependency graph, evaluates the change against existing patterns, and gives a reasoned recommendation — before a line of code is written.
Faster architectural decisionsDeployment Options
Choose the model that fits your infrastructure maturity, compliance requirements, and IT capacity.
Cloud Private Instance
Hosted by NeuronProcess on dedicated GPU infrastructure — isolated per client, fully managed by us.
- Dedicated GPU instance — no shared tenancy
- Private HTTPS endpoint, custom domain
- Model updates and security patches managed by us
- 99.5% uptime SLA
- Monthly subscription — zero CAPEX
- Up and running in days, not weeks
On-Premise / Private Cloud
We deploy the entire stack inside your AWS VPC, Azure private network, or your own data center servers.
- You own the GPU, the model weights, the data
- Air-gapped option — no internet required
- Your IT team has full administrative control
- One-time setup fee + annual license
- Annual model upgrade service available
- Meets the strictest compliance requirements
| Dimension | Cloud Private | On-Premise |
|---|---|---|
| Setup time | 2–5 days | 2–4 weeks |
| CAPEX required | None | GPU hardware or cloud reserved instances |
| Data location | Your dedicated cloud region | Your data center / your cloud account |
| Air-gap possible | — | Yes |
| Model updates | Managed by NeuronProcess | Annual upgrade service |
| IT overhead | Minimal | Your team manages infra |
Pricing
Fixed cost. Unlimited usage. No per-token billing.
Starter
Up to 25 developers
Cloud Private · Billed annually
- Private cloud-hosted instance
- Qwen 2.5 Coder 32B model
- Up to 3 pre-built agents
- Codebase indexing (up to 5 repos)
- Department API keys & dashboard
- Email support
Growth
Up to 100 developers
Cloud Private · Billed annually
- Private cloud-hosted instance
- Qwen 2.5 Coder 72B model
- Full Agent Library (6 agents)
- Codebase indexing (unlimited repos)
- Department API keys & dashboard
- Slack / Teams bot integration
- CI/CD webhook setup
- Priority support + monthly review
Enterprise
100+ developers
On-Premise / Private Cloud
- On-premise or your cloud VPC
- DeepSeek-V3 or Qwen 72B
- Custom agent development
- Air-gapped deployment available
- Fine-tuning on your codebase
- SLA + dedicated support
- Annual model upgrade service
- Compliance & security documentation
All plans include a 30-day pilot starting with one agent so your team can validate ROI before committing. Setup fee applies for on-premise deployments.
Start With a 30-Day Pilot
Send us a message on WhatsApp. We'll understand your team's current AI spend, identify the highest-value agent to deploy first, and set up a pilot so you can measure the ROI before making a full commitment.
WhatsApp UsAvailable in English & Spanish · Typically replies within a few hours
Already automating? Now make it autonomous.
A Private AI Platform handles developer workflows. Our broader AI Agentic Solutions extend that intelligence to any business process — from customer service to back-office operations — using the same sovereign, self-hosted approach.