Own compiler (EPL), own database (Orion DB), own encrypted protocol (TProtocol), own HTTP server, own GUI framework, own AI fleet. 14 years of engineering. Zero external dependencies. Nine products already shipping on it.
The platform is complete and production-ready. Our vision is wider — we're building the infrastructure layer for the next generation of enterprise and consumer software, where AI agents build and operate distributed systems on a unified stack.
A robot arm must respond in 10 microseconds — Linux cannot guarantee that. But it also needs AI, networking, and a database. Today you glue an RTOS, a Linux box, and a cloud backend. We run it all in one binary: EPL compiles to native machine code with hard real-time guarantees, Orion DB stores sensor data, AI runs locally. One stack, one process, deterministic.
30 million lines of Linux kernel running at full privilege. One driver bug = system crash at 120 km/h. Our microkernel is 1,700 lines. EPL apps run native on the hypervisor. Linux runs in a VM — only for driver compatibility. If the VM crashes, the safety-critical EPL code keeps running. That is the architecture self-driving needs.
Aerospace and medical devices use the V-model for a reason: every requirement maps to a test, every layer is specified. Modern software abandoned this — 200 npm packages, nobody knows what half of them do. We bring V-model rigor back: the compiler checks the database schema, the protocol is type-safe, the GUI is data-aware. No slop between layers. Every connection is verified.
The best AI coding agents today struggle with real codebases — 12 languages, 50 config files, 200 dependencies. Context windows are finite. A fragmented stack wastes most of that context on glue. Our entire platform is one language, one database, one protocol. An AI agent can hold the full architecture in context and make changes across the entire system. That is how we run 20 agents productively today.
$0.002/user vs $20–100/user. No dependency stack to license. Six services replaced by one process. 30,000 users on a single $70/mo server.
90% inherited from the kernel. Auth, database, protocol, GUI, AI — all shared. New product = weeks, not years. Marginal cost approaches zero.
Native x64 machine code. Binary encrypted protocol. Voice commands under 200ms. Ray tracing in real time. C++ performance with high-level productivity.
Zero external dependencies. Compiler to GUI — every line is ours. A boundary bug that takes others weeks takes us a day.
Same enterprise-grade stack under a $3.99/mo voice assistant and a business CRM. Per-page AES-256. Binary protocol. No tiers, no compromises.
We scale by adding AI agents, not people. A unified codebase makes each new agent as productive as the first. 3 humans + 20 AI agents build 9 products.
Every claim below is verifiable. The platform serves the page you are reading right now.
elastcode.com and elastbiz.com run on HSRV — our HTTP server written entirely in EPL. No nginx. No Apache. No Node.js. Pure EPL binary handling TLS, routing, templates, and static files. The server you are connected to right now is our own code, compiled by our own compiler.
All source code — compiler, database, protocol, every product — is hosted in BizOS Code (OrionGit), our own git platform running on the Elastic Platform. Repositories stored in Orion DB. AI code review on every merge request. We do not use GitHub or GitLab. See BizOS Code →
partnership@elastcode.com is served by BizOS Mail — SMTP, IMAP, AI classification, calendar, contacts. Written in EPL, stored in Orion DB. Not Postfix. Not Exchange. Every email you send us is received, stored, and classified by our own platform. See BizOS Mail →
Aurora is a full ray tracing engine rewritten from C++ to EPL. 120,000 lines became 15,000. Same visual quality. The compiler handles spatial math natively — vectors, matrices, ray-surface intersections are language primitives. This is not a toy demo. See Aurora →
AI agents commit to our repositories daily — fixing bugs, adding features, writing tests. They work because the entire stack is one language. An agent can trace a bug from HTTP handler to database query to protocol serialization without switching context. This is not a future plan — it is how we ship today.
BizOS Tables and Spark are in production with paying customers. BizOS Code and Mail are in daily internal use and shipping to early adopters. Six more products in testing or development. 9 products total, 3 developers, 20 AI agents.
The website is ours. The git server is ours. The email server is ours. The database is ours. The compiler is ours. The protocol is ours. The AI agents work inside our system. There is no layer where we depend on someone else’s code. That is the proof.
Voice AI concierge — shopping, diet, meds, budget, habits. $3.99/mo.
CRM, projects, any structured data. Replaces Monday/ClickUp. From $50/mo.
Self-hosted email with AI classification, calendar, contacts. Internal use + shipping.
Git hosting with AI code review. 5x cheaper than GitLab. Internal use + shipping.
File storage with versioning. Stored in Orion DB.
Team chat and channels. Replaces Slack/Teams.
AI app builder. Describe your business, AI creates custom apps. $5 trial.
Ray tracing engine. 120K C++ to 15K EPL. Proof of platform capability.
Video surveillance with AI detection. Neighborhood protection (M3).
of every product is the shared Elastic Platform kernel.
Each product adds ~10% of domain-specific logic as a DSM plugin. The compiler, database, protocol, GUI, AI fleet, auth, and infrastructure are inherited — not rebuilt. See the detailed breakdown →
Enterprise-grade infrastructure — even for consumer apps.
Every product, whether it is a $3.99/mo voice assistant or a business CRM, runs on the same compiler, encrypted database, and binary protocol. We do not cut corners for consumer pricing — the same security, reliability, and performance stack ships everywhere.
Apps for every platform: Windows, Linux, macOS, Android, iOS.
Desktop apps currently ship on CEF (Chromium Embedded Framework) as a temporary bridge. EPL desktop applications have been running natively on Windows and Linux for years through our own GUI widget system (90+ widgets). Once the self-compilation system is complete, all apps will be ported from CEF to pure EPL widgets — removing the last C++ dependency. We chose not to invest further in the C++ desktop wrapper when the EPL-native path is already proven and the self-compiler will make it universal.
We follow the V-model — the same systems engineering discipline used in aerospace, automotive, and medical devices. Every feature starts with business requirements, goes through system design and detailed specification, then is verified at every level back up.
Because we own the full stack, the V-model works end-to-end: from business requirement to compiled machine code to database schema to encrypted protocol to GUI widget — every layer is specified, implemented, and verified as one system.
20 AI agents sit at the bottom of the V, executing implementation and unit testing at machine speed. What used to cost $500K–$2M and 12–18 months now costs $5K–$50K and takes days to weeks. The V-model is what makes this possible — AI needs structure to be effective, and we give it the best structure engineering has.
PostgreSQL for data. Redis for cache. S3 for files. Pinecone for AI vectors. Node.js for logic. React for UI. Each layer has its own language, failure modes, vendor, and bill. 70% of engineering time goes to gluing these layers together. We built one platform that does all of it.
EPL compiles to native x64 machine code — same speed as C++. But it has things no general-purpose language has.
No ORM. No SQL strings. INSERT User INTO Users is a compiled, type-checked,
encrypted database write. One line. Checked at compile time, not 3am in production.
No Express server. No WebSocket config. No TLS certificates.
Write Send(data) — it arrives encrypted on the other end. One connection, everything multiplexed.
Desktop, web browser, thin client, mobile — same code. Not React on one side and Swift on the other. One language, every screen.
We ported a 120,000-line C++ ray tracer to 15,000 lines of EPL. Same quality. 8x less code. That reduction compounds across every product. Read the Aurora case study →
Not PostgreSQL with a plugin. A new thing — one process that replaces PostgreSQL + Redis + S3 + Pinecone + MongoDB.
Data is a tree — like a file system. Organizations contain projects, projects contain tasks. No JOINs. Navigate directly. A voice command writes to 4 partitions in one tree traversal.
Replaces PostgreSQL
Full ACID. Per-page AES-256 encryption — every page encrypted at rest with its own key. Four partition writes = one atomic transaction. Either all succeed or none.
Replaces Redis
Documents, email attachments, git repos, photos — in the same tree as structured data. No separate S3 bucket. The receipt photo and the parsed budget entry are siblings in one node.
Replaces S3
Embeddings, conversation history, AIRecords — in the same tree as business data. AI reads live data at 9:01, not a stale Pinecone copy synced last night. Zero lag.
Replaces Pinecone
No schema migrations. No ALTER TABLE downtime. Add a field — it exists. Voice assistant responses under 200ms. Tree traversal is O(depth), not O(rows).
Replaces MongoDB
Six services → one process.
Six bills → one.
Six sync problems → zero.
Binary network protocol. RSA key exchange + AES-256 symmetric encryption. Multiplexed streams over a single connection. No API gateway. No TLS terminator. No CORS. No REST versioning.
RSA handshake + AES-256. Every byte encrypted. Not bolt-on TLS — native to the protocol.
File uploads, queries, push notifications, AI responses — all on one connection. No HTTP overhead.
Desktop, browser WASM thin client, mobile, email, git — one protocol serves all.
DSM is the service layer that runs everything. It manages Orion DB, handles all business logic, runs plugins, manages user sessions, and orchestrates the AI fleet. Think of it as the kernel of the operating system — every product talks to DSM, and DSM talks to Orion DB.
Dynamic command allocation. Hot-loadable plugins. Each product (Mail, Git, Tables, AI) is a DSM plugin with its own command range. Add a product = add a plugin. No restart needed.
Organizations, users, partitions, credentials — all managed by DSM. Per-org data isolation. One DSM instance serves hundreds of tenants. Docker containers with cgroup caps for cloud hosting.
SrvOperation Runner manages all processes — DSM, HSRV, mail server, AI workers. Auto-restart on crash. Health checks. Staged startup (DSM first, then HSRV +35s, then mail +50s). Production-grade since 2018.
Not nginx. Not Apache. Not Express. A web server written entirely in EPL that serves all our websites, APIs, WebSocket connections, and the thin client. It speaks HTTP, HTTPS, WebSocket, and TProtocol — all from one process.
Server-side rendering with EPL templates. Static file serving. Virtual hosts. The same HSRV serves elastcode.com, elastbiz.com, app.elastbiz.com, and every customer workspace.
Real-time updates for chat, AI responses, voice assistant, collaborative editing. No separate WebSocket server — built into the same process that serves HTTP.
Not just widgets. A complete application framework with OpenGL rendering, event system, layout engine, theming, and cross-platform deployment. The same EPL code runs as a desktop app, a web app (WASM thin client), or a mobile app (CEF wrapper with native voice).
Windows, macOS, Linux. Native binary with OpenGL rendering. Full widget set.
Full desktop GUI in the browser via WebAssembly. Remote rendering over TProtocol. Zero install.
CEF wrapper with native voice recognition (on-device STT/TTS), biometric auth, Health Connect integration.
Multi-model AI workers (Claude, Qwen, local LLMs) managed by the platform. Self-hosted Whisper (STT) + Piper (TTS) for voice. RAG reads Orion DB live — not a stale copy. Billing at Anthropic cost + 20%.
Not one assistant — an entire AI workforce. Coordinator, engineers, specialists. Running on our hardware, billing our customers, using our platform's MCP tools.
Whisper STT + Piper TTS, self-hosted. On Android: on-device voice recognition (zero latency, zero cloud cost). The voice assistant sends text, not audio — one HTTPS POST per command.
This is why one voice command can write to four partitions atomically, the AI reads all four immediately, and the response goes back encrypted — in under 200 milliseconds.
Our competitors add a product by hiring a team and renting more AWS. We add a product by writing EPL. Every new product reuses the same compiler, Orion DB, and TProtocol. R&D is shared. Infrastructure is shared. The margin compounds.
Elastcode Home on Google Play + all desktops. BizOS suite live. Spark app builder. Replaces 8 consumer apps for $3.99/mo. Replaces Monday+Slack+Gmail for $50/mo.
Friend connections, voice messages, mutual reminders, split expenses. Viral loop: invite → they get their own assistant → they invite. Utility-first social — not feeds, not ads.
Communities by interest. Neighborhood protection (Watchcam). Crowdsourced prices from receipt data. Collective intelligence from individual data. The moat no one can copy.
A well-funded competitor starting today with 50 engineers could maybe replicate the compiler in 3 years. Then they need Orion DB. Then TProtocol. Then the GUI framework. Then the AI fleet. Then the 14 years of production bugs we've already found and fixed.
Or they could rent PostgreSQL and Node.js like everyone else. Which is exactly what they'll do. Which is exactly why they'll always be gluing, and we'll always be building.
We think the answer is: all of them.
Elastcode Ltd · Cyprus · Founded 2010 · Michael Korneev, CEO & Founder