Engineering
Autonomous software lifecycle support with strong governance and release quality control.
99.9%
Uptime metric
- • Full-stack PR reviews
- • Bug triage and root cause
- • Legacy refactoring
Private AI Infrastructure
LLMs & ModelsAgent OrchestrationFine-TuningRAG SystemsSecurity
Private Agent Systems & AI Models
Deploy LLMs and AI agents on your own infrastructure. Full data sovereignty, OpenAI-compatible APIs, zero vendor lock-in.
Private LLM hostingCustom fine-tuningGPU-native infraEnterprise-grade security
72h
First internal pilot
0
Vendor lock-in
24/7
Observability
Security posture
Audit-ready by design
GDPR
Full GDPR compliance — data stays in your jurisdiction
ISO 27001
ISO 27001 certified information security management
SOC 2
SOC 2 Type II audited security controls
EU AI Act
Compliant with EU AI Act requirements for high-risk systems
Why Private AI Pays Off
Enterprises switching from public API providers to private AI infrastructure see measurable cost and efficiency gains within the first quarter.
73%
Lower inference cost
Compared to OpenAI / Anthropic API pricing at enterprise volume
12,000+
Engineering hours saved per year
Through autonomous agent workflows replacing manual processes
4.2×
Faster time-to-production
From POC to production with pre-configured orchestration stacks
€0
Per-token cost after deployment
Run unlimited inference on your own GPU infrastructure
Full AI Stack
Everything You Need to Run AI In-House
From foundational models to production-grade agent systems — built for teams who refuse to depend on third-party APIs.
40B+Parameters supported
Own LLMs & Foundation Models
Deploy and operate private large language models, vision models, speech-to-text and image generation — all on your infrastructure.
- LLaMA, Mistral, Qwen, DeepSeek
- Vision: LLaVA, CogVLM
- Speech: Whisper, Seamless
- Image: SDXL, Flux
Sub-2sOrchestration latency
Agent Orchestration & RAG
Build multi-agent workflows with function calling, retrieval-augmented generation and shared memory across agent instances.
- Single / Multi-Agent / Supervisor
- RAG with vector & hybrid search
- Function calling & tool use
- Shared context & state
85%Accuracy uplift avg.
Fine-Tuning & Custom Training
Adapt models to your domain with LoRA fine-tuning, RLHF, or train small-to-mid-range models from scratch on proprietary data.
- LoRA / QLoRA fine-tuning
- RLHF & DPO alignment
- Custom model training (up to 13B)
- Domain-specific evaluation
The Neural Grid
Precision-tuned agent modules ready for immediate integration into your enterprise stack.
Operations
Workflow automation and resource steering for predictable execution.
Sub-2s
Response time
- • Adaptive load balancing
- • Predictive scaling
- • Cost analysis
Marketing
Campaign generation and segmentation loops driven by live signal intelligence.
+140%
ROAS uplift
- • Dynamic A/B synthesis
- • Audience segmentation
- • Sentiment analysis
Sales
Autonomous outreach and pipeline acceleration with intent-aware sequencing.
82%
Meeting book rate
- • Semantic intent detection
- • Cold pipeline scaling
- • CRM auto-sync
IT Monitoring
Global infrastructure health and security telemetry in one operational surface.
12ms
Latency
- • Infrastructure health
- • Throughput tracking
- • Incident signals
System Architecture
Hyper Agent Orchestration
A unified orchestration layer lets specialized agents coordinate through shared context and policy controls.
AGENT
Single Agent
One specialized agent handles a complete task end-to-end. Ideal for focused workflows like document analysis or code review.
Private AI vs. Public API
See how owning your AI stack compares to renting from third-party providers.
| Capability | Public API (OpenAI, etc.) | NexPatch Private AI |
|---|---|---|
| Data sovereignty | Data sent to external servers | 100% on your infrastructure |
| Cost at scale | $0.03–0.06 per 1K tokens | Fixed GPU cost, unlimited tokens |
| Model customization | Limited fine-tuning options | Full LoRA, RLHF, custom training |
| Agent orchestration | Basic function calling | Multi-agent, supervisor, RAG |
| Vendor lock-in | High — proprietary APIs | Zero — open-source models |
| Compliance | Shared infrastructure | GDPR, EU AI Act ready |
| Latency control | Variable, provider-dependent | P99 < 200ms on-premise |
Rollout Blueprint
We ship in short cycles so your teams can validate impact quickly while staying compliant and production-safe.
01
Infrastructure & access baseline
02
Model deployment and orchestration
03
RAG, guardrails and policy controls
04
Monitoring, handover and SLA operations
Extend Your Stack
Combine Private AI with our other products for maximum impact.
Full-Stack Product Development
We co-build and co-found digital products. From MVP to market — backend, frontend, infrastructure, and go-to-market.
Orpheon — Data Intelligence and Forecasting
AI-native data intelligence and pipeline orchestration with visual workflows, enterprise operations, and forecasting intelligence.
Security & Compliance
Your models and data remain in controlled infrastructure with policy enforcement and auditable access boundaries.
Migration Path
We integrate with existing tools via OpenAI-compatible interfaces and stage rollout by business-critical use case.
ROI Confidence
We baseline operating cost and value per workflow so leadership can validate impact before broad rollout.
Ready to start?
Ready to build the future?
Whether you need a full-stack product, private AI infrastructure, or predictive analytics — we're ready to build it with you.