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Vasic Digital

// AI-native software engineering

AI-native software engineering, built to be trusted.

We build AI development systems — the models, agents, orchestration, and infrastructure that turn large language models into dependable software — together with the governance layer that keeps them honest.

40+
LLM providers, one interface
140+
repositories, one constitution
33
products across three tiers

// about

A fleet, not a monolith.

Vasic Digital is a focused engineering practice building an interconnected family of AI-development products and reusable modules. Rather than one monolith, the work is organized as a fleet: large product applications on top of dozens of small, independently-tested, decoupled modules — so proven parts are reused across every product instead of rebuilt.

The backbone language is Go, complemented by Kotlin & Kotlin Multiplatform, TypeScript/React, Python, Swift, and Shell — chosen per job. What ties the fleet together is discipline made mechanical: every project inherits a shared engineering Constitution as a Git submodule, and every capability a product advertises must be backed by an automated, evidence-producing test. A feature is not "done" when the tests pass; it is done when a real user can actually use it, and there is captured evidence to prove it.

// what we do

AI-based development, end to end.

We build the substrate for AI systems — the hard part beneath the app.

Multi-provider LLM access

A first-party abstraction over 40+ providers — Anthropic/Claude, OpenAI, DeepSeek, Gemini, Mistral, Groq, xAI/Grok, and local Ollama as a fallback — behind one interface with retries, circuit breakers, and health checks.

Agent orchestration

Headless CLI coding-agent control planes, graph-based agentic workflows, multi-round "AI debate" consensus, and DAG/pipeline runtimes.

LLM verification

A trust layer that scores models with a mandatory comprehension gate ("Do you see my code?") plus latency, streaming, function-calling, vision, and embeddings tests — exporting a verified-only configuration.

Retrieval & memory

RAG, vector databases, embeddings, and fused agent-memory engines (Mem0 + Cognee + Letta) with infinite-context compression.

Defensive LLM

Guardrails, PII detection, adversarial red-team fixtures, and input canonicalisation — safety built into the substrate, not bolted on.

// tier 1 — flagship

The Helix product family & LLM infrastructure

Our flagship line spans the full AI-development lifecycle. In priority order.

HelixTrack beta

GoGinHTTP/3 QUICPostgreSQL+8

A free-world alternative to JIRA — the flagship of the Helix-Track line.

HelixAgent beta

GoGinPostgreSQLLLMsVerifier+6

An ensemble LLM service that lets multiple models debate and ships the answer they agree on.

HelixCode beta

GoGinSSHModel Context Protocol+2

A distributed AI development platform that divides work across SSH-managed workers with checkpoint/rollback.

HelixLLM beta

GoHTTP/3 QUICllama.cppLLMsVerifier+5

One binary, six modes: OpenAI- and Anthropic-compatible inference from laptop to cluster, over HTTP/3.

HelixCluster in-development

GoZiggRPCRaft + SWIM+7

A distributed operating system for AI compute, from datacenter GPUs to edge handhelds.

LLMProvider beta

Gonet/httplogrusdigital.vasic.models+2

One interface, 43 providers — with circuit breakers, retries, and health baked in.

LLMOrchestrator beta

GoJSON-lines over stdioCircuit breakerHealthMonitor+2

One control plane for every headless CLI coding agent.

LLMsVerifier beta

GoGinSQLite + SQLCiphergRPC+6

Verify. Monitor. Optimize. The single source of truth for LLM and provider verification metadata.

HelixMemory beta

GoMem0CogneeLetta+3

One memory brain for AI agents — four best-in-class engines, fused.

// quality & governance — our differentiator

Governance as an auditable fact, not an aspiration.

Two pillars make the whole fleet coherent and trustworthy.

HelixConstitution shipped

A universal, project-agnostic engineering rulebook shipped as a Git submodule and inherited by every project across a 140+-repository fleet. It encodes non-negotiable discipline — anti-bluff evidence gates, false-positive immunity, data and host safety — that a project may extend but never weaken. One submodule bump upgrades the rules everywhere, and every gate is paired with a mutation test that proves the gate itself isn't a sham.

HelixQA beta

Anti-bluff QA orchestration. It runs written YAML test banks and fully-autonomous, LLM-plus-computer-vision QA sessions across Android, Android TV, Web, and Desktop — and it refuses to score a PASS without captured runtime evidence: screenshots, logcat, video, stack traces. "We tested it" becomes "here is the video, the logcat, and the ticket."

// tier 2 — utilities

Vasic Digital utilities

Product-grade tools that stand on their own.

Catalogizer production

GoGinReactWebSockets+10

Advanced multi-protocol, encrypted media collection management — detect, catalog, and enrich everything you own.

Courses-Creator production

GoReactElectronReact Native+8

Markdown in, professional video course out — AI-enhanced, multi-platform.

VisionEngine active

GoGoCV / OpenCVLLM visionGraph algorithms

See the UI like a user — computer vision plus LLM vision for analysis and navigation.

DocProcessor active

GoLLM agentsHeuristic parseri18n

Turn documentation into a verifiable feature map for QA automation.

Docs Chain active

GoDAGSQLitefsnotify

No tracked document can fall out of sync — content-hashed, bidirectional, atomic.

Herald active

GoShellLLM intent inferenceDocs Chain

Every alert reaches the right destination — no command syntax required.

task_bridge scaffold

GoSQLiteHMAC-SHA256cron + webhooks

Your task board and your source-of-truth, impeccably in sync — both ways.

Reusable Module Suite scaffold

Go (digital.vasic.*)Kotlin MultiplatformVector DB / RAG / MCP+1

Build once, reuse everywhere — a fleet of small, decoupled, independently-tested Go and KMP modules.

// tier 3 — heritage

Server Factory — infrastructure automation

Our DevOps heritage: declarative JSON turned into fully-provisioned, Dockerized servers.

Mail Server Factory production

KotlinShellDockerQEMU+4

Run your mail server like the boss — describe it in JSON, deploy it anywhere.

Server Factory Core Framework stable

KotlinShellGradle

The shared engine behind every Server Factory.

Qemu-Utils active

ShellQEMUBridge / TAPISO images

QEMU VM images, managed like artifacts — download, run, network, publish.

Parallels-Utils active

ShellPython 3Parallels

Compress, publish, and reuse your Parallels VM images across every machine.

// technologies

Grounded in our actual stack.

Languages

GoKotlin / KMPTypeScriptPythonSwiftShellPL/pgSQLTLA+

AI / LLM

43+ provider adaptersMCPRAGVector DBsHiPlan / MCTS / ToTSWE-bench / HumanEval / MMLU

Backend

GingRPC + ProtobufHTTP/3 (QUIC)WebSocketsAngular / ReactKafka / RabbitMQ

Data

PostgreSQLSQLiteSQLCipherRedisNeo4jClickHouseMinIO / S3

Infra / DevOps

Docker & ComposeKubernetes + HelmPrometheus + GrafanaOpenTelemetryQEMU / LibvirtGitHub Actions

Testing / QA

HelixQA (anti-bluff)Challenge harnessesgo test -raceSonarQubesemgrep / gosec / trivy / snyk

// portfolio

One fleet, one discipline — see all 33 products.

A unified, evidence-based portfolio of the Helix family, the vasic-digital utilities, and the Server Factory toolchain.

// contact

Let's build something verifiable.

Anyone can wire an app to an LLM. We build the part that is hard: AI systems that are verifiable, reusable, and honest. We don't ask you to trust the green checkmark — we show you the evidence behind it.