For teams, organisations and enterprise environments

Molv Slovo — a shared workspace for people and AI

Web / PWA, Android and iOS are already working. Preparing for App Store publication. On-premise is available for a pilot. AI features are in development.

We are developing a shared communication workspace, corporate memory and AI teammates with controlled access. People approve the key decisions.

Your shared workspace01 — 04

“Shall we discuss the launch?”

People & groupsConnected today
Messages & meetingsWorking today
Molv SlovoOne workspace
Team memoryNext stage
AI WorkforceFurther ahead

Communication today. AI in development.

The foundation of team
communication is ready

Keep the conversation going

One-to-one and group chats, text messages, replies to specific messages and forwarding. Updates in real time.

Share your materials

Share photos, images, videos, documents and other files. Discuss them directly in your conversations.

Bring the team together

One-to-one and group audio and video calls are already part of the MVP. Hold meetings in your browser — Web / PWA.

With you today.
And moving forward.

Mobile apps are already here. We are preparing for App Store publication; on-premise is available for a company pilot. Desktop apps and AI features are in development.

Working today

Android + iOS

Our mobile apps are working. Conversations and meetings, on your phone.

Preparing for publication

App Store

We are preparing the iOS app for publication in the App Store. Store availability will be announced separately.

Available for a pilot

On-premise

A pilot in your company’s infrastructure, with corporate data hosted inside your environment.

In development

Desktop apps

We are developing dedicated desktop apps. Today, you can use Web / PWA on your computer.

In development

AI features

AI development is underway. Discussion summaries, group context and AI teammates are stages in the platform’s development.

Communication becomes
context for work.

Building on a working messenger, we are developing a platform that brings together company knowledge, tasks and AI teammates under human oversight.

  1. We are here01

    Communication platform

    Chats, files and calls. Web / PWA, Android and iOS. On-premise for pilots.

    Working today
  2. 02

    Team context & memory

    Group conversations and meeting recordings → summaries, decisions and shared context with sources.

    In development · AI
  3. 03

    AI Workforce

    An AI Manager and specialists in shared chats, with defined roles, tasks and permitted context.

    Further ahead · AI team
  4. 04

    Controlled execution

    Tools and integrations to carry out tasks. Important actions require human approval.

    Further ahead · actions

AI development is underway. Capabilities in stages 02–04 are still ahead. This shows the development sequence, without promised dates.

Communication → Knowledge → Tasks → AI teammates → Execution → Human approval → Results

The conversation ends.
The knowledge stays.

Planned capabilities

We start with understanding discussions. Then we connect meeting outcomes, messages and permitted materials into a shared group context.

Future workflow example · Product launch group

AnnaShall we start the pilot with the support team?

MarkYes. I’ll prepare the scenarios. We still need to discuss access.

Meeting recording → transcript

Planned: group text analysis, meeting recording and transcripts with identified speakers.

What did we agree on?

Decision
Run a pilot with the support team.
Task
Mark will prepare the scenarios.
Open question
Who needs access?

A concise summary, decisions and tasks, with owners and deadlines when stated. Reviewed by a person.

What did we decide about the pilot?

Start with support. Mark is preparing scenarios; access is still an open question.
↗ Group discussion↗ Meeting summary

Group memory will connect discussions, meeting outcomes and permitted files. Answers cite sources and respect access rights.

AI Manager

Proposed next action

Prepare a pilot plan

An AI Analyst will gather scenarios from the group’s approved context. The plan goes to the team lead for review.

Awaiting human approval

Future workflow: the AI Manager proposes a task and an assignee. Important actions start after a person approves them.

From conversation to action. People stay in control.

AI Workforce

A team of AI colleagues
under your control

Concept

Roles, memory, permissions, tools, tasks and context, within a shared workspace and under the organisation's control.

Conceptual AI team
Team leaderGoal · decision · approval
AI ManagerPlanning · coordination · approval
AI DeveloperTask · in progressModel · tools
AI AnalystTask · awaiting dataModel · tools
AI MarketingTask · under reviewModel · tools
AI SupportTask · decision neededModel · tools

AI joins the same team chats

“Nikita, we have prepared two architecture options. We need your decision.”

The AI Manager discusses decisions with a person in an ordinary chat, brings in the right AI specialist and continues after approval.

a model ≠ a teammateWe plan to support local and cloud models, chosen by your company. AI receives only the context permitted for its task.

A shared space
for communication

Concept

One interface for supported external communication channels, with integrations expanding over time.

Planned integration model
  • Telegramexternal channel
  • WhatsAppexternal channel
  • MAXexternal channel
  • VK Messengerexternal channel
  • Bitrix24business channel
  • Other channelsas integrations expand
Communication Hub Molv Slovo one shared workspace
01

External channel

A customer writes in a familiar channel.

02

Molv Slovo

The message reaches the shared workspace.

03

A person or AI

Works only with permitted context.

04

Original channel

A reviewed reply goes back to the customer.

We plan to integrate Telegram, MAX, WhatsApp, VK Messenger, Bitrix24 and other channels, subject to their API capabilities and terms of use.

From first contact
to results

We plan one workflow from a customer enquiry or meeting to a completed task. People approve key decisions and review the results.

01

Customer → task → result

Concept

  1. A message in an external channel
  2. The AI Manager receives permitted context
  3. The AI Manager creates and assigns a task
  4. An AI teammate carries out the work
  5. Human approval
  6. A reply in the original channel
02

Meeting → memory → execution

Concept

  1. Video meeting
  2. Transcript and summary
  3. Tasks in a connected system
  4. The AI Manager assigns AI teammates
  5. Execution and review of the result

Task trackers: We plan to connect Linear, Jira, YouTrack, GitHub Issues, GitLab Issues and other systems. The AI Manager will be able to create and update tasks, assign people or AI teammates, and synchronise status.

Your company.
Your environment.

On-premise is available for a pilot

Start with communication in your company’s infrastructure. Corporate memory and AI teammates are the next development stages.

On-premise · pilot

Data hosted in your company’s infrastructure.

The workspace is deployed inside your company. AI development follows your requirements for data and access.

Future AI · how data will be processed

Company infrastructure

DataGroups · meetings · files
Local model
Authorized context
ResultReviewed by a person
Cloud provider
Not used in this exampleSelected by your company

Local setup: the model processes context inside your company, without sending it to an external AI provider.

Cloud setup: the selected provider receives authorized context and returns a result. Data sent for processing leaves the company environment.

Local AI

Planned: models inside your company environment, processing context without sending it to an external AI provider.

Cloud AI

Planned: cloud models selected by your company. The chosen provider receives context authorized for processing.

Your company chooses local models, cloud models or a combination. AI features are in development and will become available in stages.

Nikita Makurin, founder of Molv Slovo

Nikita
Makurin

Founder and product lead

Contact the founder

Enterprise IT experience.
A focus on digital products.

A leader in enterprise IT and digital products, with experience managing B2B SaaS development, enterprise systems and teams of more than 35 specialists.

His project experience spans the public sector, healthcare, e-commerce and business automation.

At Molv Slovo, he leads product direction, architecture decisions and platform development.

Pilot · demo · partnership

Let's discuss a use case
for your team

Tell us about your company, team size and workflow. We will discuss hosting in your environment, pilot terms and success criteria.

Discuss a pilot makurin@molvslovo.com