ASADI AI

Governance-first product engineering

Production-grade intelligent systems for enterprise operations, internal AI infrastructure, and AI-native products.

Enterprise Systems
Internal AI Infrastructure
AI-Native Products
Governance by Design
Our Flagship Product

SOTKA

Real merchant workflow, not concept art.

Sotka helps small businesses create products, publish a branded storefront, share it instantly, and handle customer inquiries from one mobile workflow.

Create products

AI-assisted product setup with manual control when needed.

Customize storefront

Brand the public page and merchant presentation.

Share anywhere

Push the shop link across messaging and social channels.

Capture demand

Handle real customer inquiries in one workflow.

Currently live in Armenia, Georgia, and Cyprus

Live merchant app — real screens

Primary proof

Create products with AI

AI-assisted product creation with manual fallback and barcode scan.

Sotka products screen showing AI-assisted product creation

Merchant workflow

Receive customer inquiries

Sotka inquiries screen showing real customer messages

Storefront control

Brand the public page

Sotka storefront branding screen showing public page customization

Services

We build production-grade intelligent systems with governance designed into the operating model, not added after the fact.

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Intelligent Product Engineering

Web, mobile, and operator-facing systems built for real usage, durable state, and accountable decision flows.

Web & MobileOperator UXStateful WorkflowsNext.jsReact NativePostgreSQL
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AI Systems & Governance

LLM integration, RAG, policy gates, approval flows, and evidence generation for AI that has to stay attributable in production.

LLMsRAGPolicy GatesApproval QueuesEval DisciplineTraceability
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Workflow Automation & Internal Platforms

Internal tools and domain platforms that reduce coordination overhead without hiding authority boundaries or auditability.

CRMsOps ConsolesCase QueuesAutomationWebSocketsEvent Flows
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Cloud, Data, and Delivery Infrastructure

Production environments, data models, CI, and deployment pipelines designed for reliability, controlled change, and operational clarity.

AWS / VercelDockerGitHub ActionsPrismaObservabilityRelease Gates
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Architecture Review for High-Risk Systems

Design review for products where silent automation, unclear ownership, or failure drift would create outsized operational risk.

Failure ModesBoundary DesignRisk ReviewData FlowsGovernance ChecksRollout Strategy

Selected Work & Products

A mix of flagship product work, governance infrastructure, and selected applied systems from our build history. Public descriptions stay narrowly scoped to what can be represented truthfully on a company site.

Flagship Product

Sotka — AI Micro-Ecommerce

AI-powered mobile app that turns photos into instant online shops for small businesses across Armenia, Georgia, and Cyprus.

2-min shop setup
AI photo processing
Zero platform commission
3 markets live
React NativeAI/MLSupabaseEdge Functions

Technology & Approach

Tools matter, but doctrine decides whether a system can be trusted in production. These are the constraints we build around.

Fail-Closed Defaults

The safe path is the default path. If policy, context, or approval is missing, the action stops.

Policy evaluationExplicit deny statesNo silent fallbacks
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Explicit Authority Boundaries

Recommendation, preparation, approval, and execution are modeled separately so responsibility stays clear.

Human approval pointsScoped automationDeclared ownership
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Auditability

The system emits evidence while it runs, so critical decisions stay attributable without forensic guesswork.

Traceable decisionsTamper-evident logsReviewable history
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Tenant Isolation

Boundaries are enforced in the execution model, not just in UI assumptions or row filters.

Scoped contextIsolated workflowsControlled handoffs

Evidence-First Release Discipline

Delivery pipelines are designed to falsify broken assumptions before production inherits them.

CI invariantsChange gatesDeployment clarity
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AI Where It Earns Trust

We use AI where it improves a real workflow and can be bounded, evaluated, and supervised.

RAG and retrievalOperator-in-the-loopMeasured automation

About ASADI AI

Asadi Labs LLC is the company behind ASADI AI, our public brand and product-facing domain. We build enterprise systems, internal AI infrastructure, and AI-native products that are meant to run in production, not just demo well.

Governance-first engineering means the control model is part of the product. We define explicit boundaries, keep approvals attributable, and design for auditability, tenant separation, and real operator oversight from the start.

Sotka is our flagship proof point, but the company is broader than a single product. We apply the same doctrine across fintech platforms, operational systems, and reusable AI infrastructure.

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Explicit Authority Boundaries

Automations can recommend or prepare work, but consequential actions stay behind declared authority and approval boundaries.

Fail-Closed Defaults

If no rule authorizes an action, the system blocks it and surfaces why instead of guessing its way forward.

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Auditability by Design

Events, approvals, and operator decisions are recorded as part of execution, not reconstructed after an incident.

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Operator Trust

Interfaces are built to be legible to the people who own the outcome, not just impressive to observers.

Discuss a Production System

If you are scoping an enterprise system, internal AI platform, or AI-native product, we can work through architecture, governance, and delivery constraints.

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Yerevan, Armenia

Asadi Labs LLCIncorporated in Republic of Armenia

Book an Architecture Session

30 min — system scope, governance, and delivery fit