Instancium
Self-hosted inference on llama.cpp with a native Vulkan backend - NVIDIA, AMD, Intel or CPU, no CUDA lock-in. Chat, vision and embedding models stay resident side-by-side in VRAM; sessions stream over one SignalR endpoint with direct KV-cache primitives, RBAC-scoped API keys and a zero-mutation guarantee: what you send is exactly what resides in memory.
R&D Laboratory for Sovereign Digital Systems
Architecture of Digital Autonomy
Instancium is an independent R&D laboratory building the architectural foundations for sovereign digital systems. We develop verifiable AI, cryptographic, and distributed infrastructure that gives individuals and organizations full control over their data, models, and decisions.
ScrollThe Doctrine
Infrastructure for Digital Autonomy
Instancium provides standards, software solutions, and architectural foundations for self-governing, secure information systems. The platform moves digital infrastructure from an architecture of dependency to an architecture of autonomy — simple, pragmatic, and economically beneficial.
Doctrine § 2 · General Provisions
Dynamic Balance
Centralization delivers coordination, standardization, protection, and services at scale. Distribution delivers autonomy, resilience, portability, and independence. The platform keeps both models interoperable: they coexist, interact, replace one another, and develop independently.
coexist · interact · replace · evolve
Infrastructure Foundation · Doctrine § 2
R&D Lab
Fundamental research, prototypes, and core technologies.
Technology Platform
Shared components: APIs, SDKs, and open protocols.
Community
Architects, engineers, users, and creators.
Ecosystem
Independent networks, applications, and new forms of interaction.
The Doctrine, in full
Platform constitution · Strategic R&D areas · Implementation mechanisms · Expected outcomes
Instancium · Ecosystem
Ecosystem & Products
An evolving ecosystem built to power our own laboratory and validated in real-world conditions. We design modular protocols, SDKs, and applications with minimal external dependencies — and publish the core layer openly so you never have to deploy an unverified black box into your infrastructure.
Exchange architecture · one contract, full control
Capabilities
InstantAIGate
Routing · RBAC · Hot-swap · Telemetry
ONE CONTRACT
Gateway core
Every capability speaks to one gateway contract. Inside the gate: a multi-model VRAM pool, direct KV-cache control, live telemetry and a zero-mutation guard - self-hosted, inside your perimeter.
100%
Every capability speaks to one gateway contract. Inside the gate: a multi-model VRAM pool, direct KV-cache control, live telemetry and a zero-mutation guard - self-hosted, inside your perimeter.
A vector store that lives inside your process - no external service, no Docker, no native binaries. SIMD-accelerated cosine/dot/L2 kernels are verified against a double-precision reference kernel (relative error ≤ 1e-5), tie-breaks are deterministic, and every mutation persists atomically to disk through segmented WAL storage.
Point Lens at a folder: it parses, chunks and embeds documents on-device into Vectra, then answers through InstantAIGate with token streaming and visible pipeline stages — never an opaque "Thinking…". Every claim carries an [n] citation bound to the exact source chunk, and the index lives next to your documents. Documents, index and models are processed locally without external network calls.
Release orchestration that runs on your machine, not in a vendor's cloud. Visual pipelines, code signing, channel management (stable / beta / nightly), delta updates and one-click rollback - designed for desktop .NET products.
Research Lab · Doctrine § 4
Research That Becomes Infrastructure
The laboratory investigates the doctrine's three Key Areas and turns results into reusable components, applied prototypes, and production systems. Every program is framed as a research question with reproducible evidence.
Sovereign Artificial Intelligence
ZERO DATA LEAK · LOCAL EXECUTION
- Local and self-hosted AI systems, including AI gateways and model infrastructure.
- Personal AI agents and local data-processing systems.
- RAG, orchestration, and agent systems deployed without external dependencies.
Cryptography & Digital Trust
VERIFIABLE TRUST · IDENTITY SOVEREIGNTY
- Secure identity, key recovery, and key backup.
- Algorithms for secure state exchange and post-quantum cryptography.
- Cryptographically verifiable trust between independent nodes.
Distributed Autonomous Systems
NO SINGLE POINT OF FAILURE
- Distributed architectures without a single mandatory point of control.
- Self-hosted nodes and P2P interaction.
- Fault-tolerant autonomous services for independent digital networks.
Project Pipeline
The laboratory maintains a portfolio of research-backed projects that can become investment cases. Stage details and technical materials are available on request.
01
Research
hypotheses · benchmarks · RFCs
02
Prototype
reference implementations and architectural validation
03
MVP
product pilots with docs and handoff
04
Investment candidates
autonomous projects with own team and economics
Open by default Apache-2.0
Most core components are developed as open source. Inspect the architecture, run benchmarks on your own hardware, and build sovereign systems on the stack.
Enterprise Services · Dev Division
AI That Belongs to Your Enterprise
The Dev division builds your own AI infrastructure inside the corporate perimeter: modern AI capabilities with corporate control, security, and predictable economics — a digital asset that grows with the organization, not a rented service.
Cloud AI services
Cloud models offer strong general reasoning, but require sending sensitive data outside your perimeter. Token-based billing makes high-frequency enterprise workflows disproportionately expensive, while tying your operations to external rate limits, pricing shifts, and vendor policies.
Traditional local implementations
Heavy on-premise projects typically demand long custom integration cycles, inflated budgets, and deep vendor lock-in — often forcing oversized infrastructure onto tasks that are solved faster and more reliably by compact, specialized models with strict context control.
Instancium removes this compromise: compact, controllable AI with predictable economics and enterprise-grade security.
Service lines
Implementation & Integration
Project-based · Fixed scope
We integrate AI directly into existing business processes. The solution runs inside your infrastructure and works with corporate data without transferring it to external clouds.
- Corporate AI assistants
- Intelligent search over internal documents
- Processing of corporate knowledge & regulations
- Document & reporting automation
- AI helpers for employees & departments
- Decision-support systems
- AI components for portals, mobile & corporate services
Fixed-scope modules · defined outcome · predictable budget
Enterprise Subscription
Recurring · SLA-backed
Production continuity and privileged access for organizations running Instancium within their own perimeter.
- SLA support for Instancium core platforms & SDKs
- Early access to new features & releases
- Extended documentation & architecture guides
- Private NuGet packages & hardened builds
- Authorized integration into the corporate perimeter
- Priority engineering escalation
Continuity · privileged access · governed integration
Core Competencies & Architecture Advisory
Foundational engineering domains where Instancium advises and builds beyond off-the-shelf products.
- C# .NET Core
- C/C++ P/Invoke
- Local AI & Inference Pipelines
- RAG & Vector Retrieval
- Applied Cryptography
- Auth & RBAC
Solving a focused operational problem does not require a heavy industrial cluster. When standard products are not enough, our team uses its core stack to build compact, native solutions proportional to the real workload — eliminating unnecessary dependencies, bloated infrastructure, and prolonged setup cycles.
Three Formats of Work
Three ways to work with the lab. Same engineering standards, different clocks and ownership models.
| Criterion | |||
|---|---|---|---|
| Best for | Fundamental questions with publishable results | A validated product idea with a real user | Long-term sovereign infrastructure |
| Duration | 6-18 months | 6-12 weeks | 12+ months |
| Funding | Grant / consortium | Fixed-scope pilot | Retainer / dedicated pod |
| IP & license | Open publication · public artifacts | Your IP on custom layer · licensed core | Custom IP agreement · commercial license / escrow |
| Deliverables | Paper - reference code - evals | Working MVP - runbook - handover | Roadmap - SLA - knowledge transfer |
| First step | Share a hypothesis | Book a pilot scoping | Request an architecture review |
MVP Development — 6-12 weeks, fixed scope, full ownership of custom code. Built on proven Instancium foundations.
Book a pilotContact · Open Channels
Start a Conversation
Reach the laboratory directly through the channel that matches your intent. Research, partnership, and support inquiries are read by the engineering team.
Direct line
Typical reply within 24 hours
Also reachable via
What we handle
Research & Grants
Commissioned research, grant programs, and MVP builds within the mission and Key Areas.
Partnership & Investment
Investment builds, co-development, and access to the laboratory's project pipeline.
Support & Integration
Product questions, deployment, and integration with your existing systems.
What to include
01
Context & goal
What you are building and the problem it solves.
02
Key Area
Area I (AI Autonomy), II (Digital Trust), or III (Distributed Systems).
03
Timeline & constraints
Deadlines, budget range, and deployment perimeter.