Compose
Combine conversational AI, retrieval, tools, workflows and generative interfaces around a defined user need.
VIVERRA / Applied intelligence
Intelligence, made operational.
VIVERRA is a modular AI product platform connecting agents, interfaces, knowledge and compute into focused experiences built for real work.
THE 271 INTELLIGENCE FIELDMODULAR AI PRODUCT PLATFORMLIVE PLATFORMPRIVATE ACCESSSELECTIVE STRATEGIC PHASEPRAGUE / 2026
01 / AI Factory
One foundation. Many precise products.
AI Factory is the shared technology and productization layer behind selected VIVERRA products. It brings reusable capabilities together so teams can shape an agent into a coherent product without rebuilding the foundation each time.
Configure
Create distinct product variants, experiences and deployment profiles from a shared modular base.
Operate
Support web, native and private environments while separating product control from long-running compute.
Evolve
Validate a specialist agent in the ecosystem, then give it a focused interface and distribution path when the use case earns it.
02 / Portfolio
A connected portfolio, not a collection of features.
Each product has its own audience and interaction model. Shared platform principles connect them without erasing their product boundaries.
01
Personal AI environment
V271
A central environment for agentic conversations, specialist agents, a document library and shared product access.
Deployed pilot
02
Enterprise AI environment
LOKAI
A governed organizational environment for agents, enterprise knowledge, roles and integration-led workflows.
Functional pilot
03
Human coding fitness
Reforge
A coding gym and workbench concept designed to strengthen independent technical judgment while working with AI.
Product prototype
04
Personalized learning
Učitel národa
An educational experience that explains unfamiliar ideas through analogies grounded in what each learner already knows.
Product concept
05
Quantum programming
Quantum Lab
A browser-based learning and experimentation concept for Python, Qiskit, quantum circuits and simulation.
Technical module
06
Research workflow
AI Research Scientist
A specialist workflow for structuring research questions, comparing sources and preparing evidence-aware technical outputs for researchers, startups and technical teams.
Research workflow
03 / Productization
From a useful capability to a product people can understand.
The productization path narrows scope before it expands distribution. A product earns independence through a clear problem, a distinct audience and repeatable use.
- 01
Need
Name one meaningful problem
Start with a user outcome that can be explained without describing the whole platform.
- 02
Agent
Build the intelligent workflow
Compose the model, knowledge, tools and interaction pattern inside the shared foundation.
- 03
Evidence
Test the repeatable value
Observe whether the workflow solves the problem clearly enough to deserve a dedicated surface.
- 04
Product
Design a focused experience
Create its own onboarding, interface, language and operating constraints.
- 05
Distribution
Meet users in the right place
Choose web, desktop, mobile or private deployment according to the work — not the trend.
04 / Technology
A modular field of models, knowledge, tools and compute.
The platform model separates reusable intelligence services from product-specific experiences. This keeps interfaces focused while allowing infrastructure and capabilities to evolve underneath.
Product surfaces
Purpose-built web, desktop and private experiences with distinct navigation and product language.
Agent systems
Specialized assistants, workflows, tools and structured actions composed for each use case. Outputs are governed by strict Zod schemas, so agents complete precise JSON workflows deterministically instead of returning free-form guesses.
Knowledge layer
Document libraries, retrieval-augmented answers and project context organized around explicit access boundaries, with provenance and a consent ledger for auditable data use.
Execution plane
Responsive product control runs on a serverless control plane; longer processes, terminals, sandboxes and GPU workloads run on dedicated or external compute with provider abstraction and hard spending caps.
Deployment choice
Cloud tenants, dedicated infrastructure or private on-premise patterns are selected according to the product and the organization — not the trend.
05 / Product evidence
See the platform in operation.
Recorded demonstrations show the deployed V271 environment, product workflows and interface in operation. The interface map below provides a sanitized reference view without user data, private endpoints or production credentials.
- Documented surface
- Agent-led workspace
- Shared context
- Library and projects
- Product controls
- Access and usage
06 / Company
VIVERRA builds the connective tissue between AI capability and product clarity.
VIVERRA V271 s.r.o. was established to develop and productize agentic, multimodal, educational and enterprise AI experiences. The platform spans personal products, organizational environments and specialist applications built around shared systems and infrastructure.
Current status
The core platform is live and selected product surfaces remain operational for demonstrations, evaluation and private access. Public registration is currently closed. VIVERRA is currently operating in a focused private-access phase while selected product, deployment and strategic opportunities are evaluated.
- Focused products over feature lists
- Reusable systems with explicit boundaries
- Deployment shaped by the work
- Human judgment remains part of the loop
07 / Contact
Build the next useful intelligence.
For product, technology and strategic conversations, contact VIVERRA.
[email protected]VIVERRA V271 s.r.o.PRAGUE / CZECH REPUBLIC