Real workflows
Start with a concrete operational problem, not a trend or a demo.
SC LABS · OPERATIONAL AI UNDER HUMAN CONTROL
AI that does more than answer. It can actually work.
ARKTOR lets AI use files, applications, browsers, computers and connected devices like a digital operator would — while you define the goal, control the permissions and keep the final decision. Local-first by design, with cloud services only when you choose them.
ARKTOR operational AI platformHuman control permissions, approvals and decisions0 trackers or analytics
Local coreExplicit routingHuman approval
FLAGSHIP · OPERATIONAL AI
ARKTOR is one family for AI that can actually work.
Give AI a goal, define what it may access and let it work with real computers or devices while consequential decisions stay with the human. The family now has clear product paths instead of exposing every technical building block as a product. Explore ARKTOR →
FOCUSED PRODUCTS + RESEARCH
Built for real problems.
Some products answer a narrow technical question. Others support commercial work. The portfolio should make that difference obvious without turning every experiment into a product.
CompetitorRadar
Turn public market information into structured, traceable competitive intelligence with evidence attached — built for real competitor work, not generic summaries.
Explore CompetitorRadar
ClientRadar
Keep commercial and technical customer context together without turning the workflow into another oversized CRM.
Explore ClientRadar
Radar Tools
Focused products for hardware, models, security, privacy and activity visibility, each with its own maturity and evidence boundary.
Browse all Radar Tools
Nova / AI-LPA
Exploring what a practical local AI personal assistant for non-technical Windows users could become. The direction remains visible without competing with active product claims.
View Nova / AI-LPALATEST VERIFIED WORK
What changed in the lab — with evidence.
Only current proof that materially changes a product claim is promoted here.
ARKTOR RESCUE · PHYSICAL V0.1Boot, diagnosis and real data rescue acceptedPhysical recovery proof includes independent boot, controlled remote work, read-only Windows inspection and hash-verified data rescue. Continuous multi-reboot repair remains open.ARKTOR ANDROID · 0.8.8Automotive transport recovery physically accepted over LTE0.8.7 remains the stable phone workbench. 0.8.8 closed the automotive transport regression; the separate chat/model UI issue remains open.ARKTOR VAULT · 0.3.0-ALPHA.121/21 retained local-memory E2E testsDurable memory survived sessions and model changes in the defined local proof, including cross-model reuse after a fresh process.
PROOF + OPEN SOURCE
See the work behind the products.
SC Node shows where the controlled-agent direction became real in public Rust code. SC Agent Lab shows what current products have actually passed, failed or still need to prove.
SC Node
The public Rust proof of concept that demonstrated controlled routing, tools, permissions and audit — and helped shape the direction that followed.
Explore SC Node
SC Agent Lab
Current product evidence with explicit limits. Enough to prove the work without publishing proprietary ARKTOR mechanisms.
Open SC Agent LabWHY SC LABS
Built from real work, not from AI hype.
SC LABS exists to make capable AI systems more private, understandable and useful in daily work—not to create another generic suite.
The starting point was a recurring practical problem: useful context was scattered across email, documents, tools and people’s heads, while conventional software was either too broad or too opaque.
Small local utilities became connected workflows, then a modular AI stack. The product family grew from those real needs: a workspace for controlled AI, durable local memory, a bounded agent runtime and focused Radar applications that turn raw signals into reviewable evidence.
Local tools
Build the smallest useful system with visible boundaries and evidence.
Focused products
Separate products remain useful on their own while sharing a controlled foundation.
BUILDER-LED PRODUCT LAB
BUILT BY SB
One builder. Real workflows. Practical systems.
SB brings around two decades of experience across business, sales, business development and customer-facing technical work. He has led teams, built his own business and worked across international markets. That commercial perspective shapes SC LABS: technology has to solve a real problem, explain itself and remain useful after the first impressive demonstration.
Technology is the older thread: SB has been fascinated by PCs and technology since around age seven or eight and has kept building and upgrading PCs, on and off, for roughly 35 years. At school came early exposure to PC Talk Back and Turbo Pascal. The professional path later focused mainly on business, sales and business development rather than software engineering. In 2025, after already learning six foreign languages, he deliberately returned to programming through Python; Rust, CS50AI, cybersecurity and hands-on AI/software product development followed. SC LABS combines long commercial experience and decades of practical technical curiosity with a recent, evidence-driven return to software development — not a claim of 35 years as a software engineer.
HOW IT FITS TOGETHER
Inference, cognitive control and execution are different jobs.
ARKTOR keeps them as independent LEGO components so a better model, controller policy or tool layer can evolve without turning the whole system into one oversized runtime.
Model layer
Runs replaceable local or remote AI models without making one provider the product.
Control layer
Coordinates bounded workflows and verification policy while keeping consequential authority with the human.
Execution layer
Provides permission-gated access to approved computer and device capabilities with auditable outcomes.
BUILD PRINCIPLES
Four rules that remain visible in every product.
Local by default
Private work should not require permanent cloud dependence.
Evidence before certainty
Findings retain sources, timestamps and honest uncertainty.
Boundaries before autonomy
Agents receive explicit roots, tools, timeouts and approvals.
Focused before bloated
Each product solves a defined problem instead of becoming a generic suite.
FOLLOW THE BUILD
Concepts become products through visible stages.
SC LABS separates ideas, research, prototypes, alphas and verified functions. That makes it possible to discuss the direction honestly while the products continue to mature.
QUICK ANSWERS
What the site is—and is not.
Are all products finished?
No. Every card and product page states whether the work is verified, alpha, prototype, research or concept.
Does local-first prohibit cloud models?
No. It means local execution is the default and data egress requires explicit provider selection and permission.
Why separate product pages?
Each product solves a different problem. Dedicated pages make capabilities and limitations understandable without turning the homepage into a manual.
Can I download the products?
SC NODE has a public alpha repository. The Radar family has real-world test history across four Windows PCs, while release readiness is verified per current build. Public downloads remain gated by each product’s remaining packaging, signing, legal and validation checks.