Deep AI Engineering · Product Engineering · Modernization

Domain expertise becomes
digital products
built to grow safely.

General Informatics builds AI-native SaaS and software systems, modernizes existing applications, and unifies domain logic, prompt architecture, security and operations in a maintainable product architecture.

Our advantage is not another interchangeable feature. It is a disciplined engineering system: expert-built prompts, coordinated parallel delivery without duplicate paths, and traceable quality assurance.

Get a technical assessment → Explore the engineering model

Domain logic before model choiceRules, edge cases and quality criteria are captured as a testable domain model first.

Build in parallel. Implement once.Independent workstreams share contracts instead of reinventing the same capability.

Preserve value. Improve the core.Useful functionality remains while fragile structures are replaced with clear modules.

Security as architectureRoles, data flows, validation, logging and operations are designed from the start.

The real gap

Digital projects rarely fail for lack of ideas. They fail for lack of engineering discipline.

When strategy, domain expertise, AI and architecture are commissioned separately, handoffs, duplicate work and fragile systems follow. General Informatics brings these disciplines into one accountable product model.

Versioned domain logic Coordinated workstreams Migration without functional loss Maintainable target architecture

Domain knowledge stays unstructured

Critical rules remain in people, documents and case-by-case knowledge without versioning, test criteria or clear boundaries.

Parallel work creates duplicate paths

Prompts or developers solve similar tasks independently. It feels fast initially and makes every later change more expensive.

Legacy systems are patched again

New features are placed on top of old weaknesses instead of clarifying data models, interfaces and ownership.

Engagement profiles

Concrete engineering profiles, not an interchangeable service catalogue.

GI takes on initiatives where domain expertise, AI, product architecture and operations must be designed together—from complex legacy systems to new digital products.

Explore the engineering model →

Deep AI Engineering & Prompt Architecture

Domain expertise becomes versioned prompt modules, agent roles, quality rules and reviewable workflows.

Domain prompts with edge cases and acceptance criteria
Multi-agent and parallel-prompting systems
Human-in-the-loop, evaluation and audit trails

SaaS & Product Engineering

From a validated core process to a scalable platform with roles, workspaces, billing and production-ready operations.

Product logic, multi-tenancy and permissions
APIs, data models, billing and integrations
Admin, monitoring, migrations and extensibility

Conversion systems & digital entry points

Websites and portals that explain complex offers, build trust and lead directly into useful processes.

Positioning, information architecture and SEO
Qualifying calls to action instead of generic contact points
Performance, semantics, analytics and iteration

Software modernization & system encapsulation

Existing systems are analyzed, decoupled and migrated to a maintainable target architecture without losing sight of functionality.

Architecture audit and migration plan
Modules, adapters, APIs and data migration
Remove legacy paths, test and secure operations

WordPress Product Engineering & Automation Strategy

Custom plugins, modular add-on suites and cloud-connected systems designed as maintainable products rather than collections of short-lived workarounds.

Multisite, booking, commerce, workflows and background processing
Licensing, updates, provider adapters and white-label structures
AI cloud, cost control, credits, security and operations

Explore the technical possibilities →

Engineering products

Reusable systems for security, deployment and digital demand.

GI AI Security Suite, GI Deploy Core and GI Search Intelligence turn recurring security, operations and growth work into clear, extensible products that can run in-house or as managed solutions.

Available · Security checks & monitoring

AI and web security product

GI AI Security Suite

Security suite for websites, AI assistants, APIs and publicly exposed attack surfaces.

The suite identifies technical weaknesses, risky AI-assistant configurations and exposed attack surfaces. Findings are prioritized, evidenced and converted into concrete remediation steps.

View product →

Automated website, API and supply-chain scansAI Assistant Security & Transparency MonitorPrioritized findings, evidence and concrete remediation

Status: Pilot-readyDeployment & Operations

GI Deploy Core

Standardised installation, preflight, blue/green deployment, rollback and recovery for Docker-based business systems.

Unified commands for install, preflight, deploy, rollback and status
Blue/green releases with atomic activation
Persistent project data outside release directories

View product →Status: Pilot operationSearch Intelligence & Content Operations

GI Search Intelligence

Detect, localise and implement search intent using Search Console, keyword data, SERPs, competitors and internal search.

Google Search Console and Google Ads keyword data as demand signals
SERP, competitor and content-gap analysis by market and language
Internal site search and existing project content

View product →

Own projects as practical proof

Products emerge from real development and operational responsibility.

Dynafis, Timdio, V8Chat, ArbiDeal and RocketBoot are proprietary platform and development projects. They show how GI combines domain logic, SaaS, AI, data, security and operations in practice.

AI Finance Automation

Dynafis

Multilingual invoice and finance automation for companies and accounting firms. Dynafis combines document intake, tax logic, e-invoicing networks and multi-client workflows in a controlled finance workspace.

Current core capabilities

Shared invoice inbox for KSeF, Peppol and additional document sources
Legal entities, client context and accountant workspaces
Country, tax and mandatory-field logic with multilingual overlays
Review, approval, audit and document workflows with traceable status

Open product Dynafis ↗

Workforce & Time Operations

Timdio

Multi-tenant time tracking and workforce operations for SMEs. Timdio combines simple daily use with reliable proof, role-based workflows, month-end closing and multiple notification channels.

Current core capabilities

Proof policies using GPS, QR, geofencing, selfie and NFC
Roles for owners, administration, management, locations and employees
Absences, month-end closing, audit trail and WORM-ready evidence
In-app, email and WhatsApp notifications, 2FA and PWA access

Open product Timdio ↗

AI Communication Platform

V8Chat

Provider-independent AI communication platform for productive conversations, customer interaction and specialised real-time applications. V8Chat is the shared foundation of a growing product family.

Current core capabilities

Spaces with files, memory, history and long conversation context
Secure Agent Runtime, Security Center and controlled tool use
Credits, cost control, plans and central administration
Lead widgets, human takeover and reusable AI infrastructure

V8Chat product family

One shared platform for AI workspaces, website assistants and live translation.

The products share central account, billing, security and AI infrastructure while staying focused on their individual use cases.

v8chat.com

V8Chat Platform

AI workspaces for long, structured conversations with files, memory, history, spaces and secure agent control.

Chat · Spaces · Memory · AgentsOpen product ↗assistent.v8chat.com / assistant.v8chat.com

V8Chat Website Assistant

A website-learning assistant for qualified leads, contextual answers, branded widgets and direct human takeover.

Leads · Website knowledge · HandoverOpen product ↗translate.v8chat.com

V8Chat Translate

Live speech and text translation with automatic language detection, direct playback and conversation flows for one or two devices.

Realtime · Speech · Text · PWAOpen product ↗

Open product V8Chat ↗

WordPress Product Engineering

RocketBoot

A product and demo platform for modular WordPress systems. RocketBoot combines add-on suites, booking and commerce architecture with fast-starting multilingual live demos.

Current core capabilities

Warm-pool provisioning for quickly available product demos
Multena and RoomPilot as modular reference products
Add-on, licensing, update and white-label structures
WooCommerce, booking and channel integrations with secure operations

Open product RocketBoot ↗

Marketplace Intelligence

ArbiDeal

Cross-marketplace intelligence for systematic price and trading opportunity discovery. ArbiDeal turns distributed marketplace signals into prioritised and traceable opportunities.

Current core capabilities

Automated monitoring across marketplaces and data sources
Normalisation and comparison of heterogeneous offers
Opportunity scoring for relevant price and market movements
Filters, alerts and decision views for repeatable research

Open product ArbiDeal ↗

WordPress Product Engineering

An add-on can become a product – and, when useful, a platform.

GI combines WordPress development with product architecture, automation strategy and cloud engineering. A process can start as a plugin, grow into a modular add-on suite and later support white-label channels, shared AI services or independent vertical products.

Modernize existing systems deliberately Separate core, add-ons and cloud cleanly Prepare direct sales, white-label and product families

Assess a WordPress product technically →View our products

From plugin to product line A technical growth path without a future rebuild.

Process & existing systemDomain logic, user journeys, data, bottlenecks and existing functions are captured reliably.

Modular productCore plugin, add-ons, APIs, roles, migrations and tests receive clear boundaries and contracts.

Cloud & channelsLicensing, updates, AI, payments and external channel services are connected in a controlled way.

Product familyShared core logic can support white-label offerings and additional vertical products.

WordPress unit by General InformaticsRocketBoot

Specialist WordPress product engineering for Multisite, add-ons, automation and cloud architectures. WP-Multena Pro shows how administrative workflows become a controlled product.

Explore RocketBoot

Automation strategies with operating logic

Provisioning, booking, documents, approvals, synchronization, webhooks and background jobs are designed as traceable processes with status, resume and failure paths.

Product-ready add-on architecture

Feature registries, entitlements, licensing, update channels, migration paths, demo environments and packaging are designed as one connected product system.

White-label Channel Cloud

Provider adapters, rate and inventory synchronization, partner branding and central channel configuration can form a reusable cloud layer, creating a path toward a later standalone channel service.

AI Cloud integration

Provider-independent AI gateways, prompt and template versions, credits, cost control, data boundaries and observability make AI functions safely reusable across multiple products.

Concrete development paths

Our own product systems show what can be engineered.

These are not interchangeable portfolio cards. They address real architecture: background processing, migration, licensing, commerce, builders, integrations, cloud services and the path from one plugin to a product family.

WP Multena

Multisite provisioning and site cloning as a dependable automation product rather than a one-off administration script.

Plannable clone jobs with status, resume, reports and safety checks
Uploads, tables, search/replace, users and migrations as encapsulated stages
Licensing, updates and direct-sales infrastructure for an independent product

WP RoomPilot

A generic booking core with a lodging domain, frontend builder, commerce and integration architecture as the foundation for further booking products.

Rate plans, dynamic pricing, services, payments, receipts and extensible availability
Elementor, shortcode and preset integration without parallel business logic
Channel Cloud and AI Cloud paths for later white-label and vertical products

Engineering horizon

Vision is defined as an expansion path, not sold as a finished feature.

We clearly distinguish the implemented product core, prepared interfaces and later cloud products. The vision therefore remains credible, testable and economically prioritizable.

Deep AI Engineering

A strong prompt is a starting point. A reliable AI system is architecture.

At GI, domain prompts are not a loose collection of instructions. They are versioned knowledge modules with context boundaries, roles, failure modes, validation logic and measurable quality criteria. That is what makes AI repeatable, integrable and accountable.

Domain knowledge as a versioned system Parallelism without duplicate product logic Outputs that are reviewable, explainable and integrable

Get a technical assessment →Products

Parallel prompting Multiple workstreams. One product truth.

Work is decomposed so prompt and engineering teams can deliver independently. Shared contracts, architecture context and integration checks prevent duplicate paths and contradictory implementations.

Model domain knowledgeMake rules, exceptions, risks and acceptance criteria explicit.

Split work orthogonallyDefine packages with clear boundaries, inputs, outputs and ownership.

Deliver in parallelPrompts and engineers work from one architecture map and change log.

Integrate & regression-testValidate contracts, security, UX and existing functionality automatically and manually.

Domain copilots

Expert knowledge becomes role-aware without hiding decision criteria or sources.

Agentic workflows

Specialized agents handle clearly bounded steps, handoffs and checks in a controlled process.

Document & data intelligence

Documents, sources and rules are extracted, normalized and turned into traceable decisions.

AI-assisted modernization

Legacy code, dependencies and data flows are analyzed before targeted migration and simplification.

Secure customer and team portals

AI capabilities are embedded into roles, approvals, data spaces and existing business processes.

Quality & observability

Evaluation, logs, failure classes and feedback loops show where a system is reliable and where it needs refinement.

GI Engineering System

An engineering model that keeps complexity controllable.

Every initiative gets a shared architecture map, explicit module boundaries, testable acceptance criteria and one target path. AI and humans can work in parallel without splitting the product into competing truths.

Domain model & acceptance

Processes, rules, edge cases and quality attributes are made testable before implementation.

Architecture & encapsulation

Modules receive clear ownership, data contracts and interfaces so changes stay local.

Parallel prompting

Orthogonal work packages, shared context, change logs and integration rules prevent redundant development.

Security & quality gates

Permissions, validation, tests, auditability and failure paths are not postponed until the end.

Operations & evolution

Observability, admin tools, migrations and extension points turn a delivery into a product that can evolve.

Get a technical assessment →

Method

From an ambiguous initiative to a reliable product core.

The method prioritizes root cause, target architecture and acceptance criteria. Only then is work parallelized—and every workstream remains bound to one integration path.

System discovery

Goals, users, legacy assets, domain rules, risks and technical debt are made visible and prioritized.

Target architecture

Product core, module boundaries, data contracts, security model and success criteria are defined.

Coordinated delivery

Independent workstreams deliver in parallel against shared contracts, tests and integration rules.

Validation & evolution

Functionality, quality, security and usage are validated; the next phase remains architecturally compatible.

Principles

Trust comes from repeatable discipline.

We do not promise perfect software or magical AI. We promise traceable decisions, clear ownership and an architecture that makes problems visible before they become expensive.

Root cause before patchWe correct the broken relationship instead of covering symptoms with more special paths.

One target path, not parallel architecturesTemporary workarounds do not become permanent. Legacy paths are deliberately migrated and removed.

Security as a system propertyAccess, data minimization, validation, logging and recovery belong to the architecture.

Extensible without rebuilding the coreNew languages, providers, roles, markets and modules are added through defined extension points.

Data Intelligence

Data is the new gold. We turn it into actionable signals.

General Informatics extends websites, platforms and SaaS systems with data-driven services: market monitoring, aggregation, enrichment, reporting, dashboards and API-ready data products.