1
Make context shared
AI is most useful when the team can see the context, artifacts, and decisions together.
About Sociail
Real people building Shared Intelligence.
Sociail is a shared workspace where people and AI agents work together in the same context. We are building it with our own team first because the old way of juggling meetings, docs, chats, and private AI tabs is not good enough.
Founder-led
Product and company vision
$700K+
Bootstrapped to date
May 2026
Early Access target
The people behind Sociail
A serious build, a real team, and a product shaped around how people actually work with AI.
Why we are building this
AI collaboration breaks when every person has a private AI tab, private context, and private conversation history. The team is no longer thinking together.
2
Keep trust visible
The product should show where people review, approve, and constrain AI participation.
3
Prove the wedge
Early Access focuses on rooms, participant agents, durable outputs, and bounded next steps.
Team proof
The story is not theoretical.
These moments matter because they show the product, the before-state, and the team behind the work.
Current build
Human-first, AI-native collaboration
Our own work brings humans, AI agents, video, text, and artifacts into one shared room. The product is being shaped by the way our team works every day.
Before the shift
The coordination problem was ours first
Calls, notes, chats, and private AI context used to live in separate places. Sociail exists because that fragmentation made real team work harder than it needed to be.
Team culture
A serious product from a real team
The work is ambitious, but the operating style is grounded: build in public where useful, protect private work, and keep the human part visible.
What Sociail is proving first
Shared Intelligence is the broader collaboration pattern. Early Access is the focused proof surface.
Shared rooms, not private AI tabs
People and agents work from the same room context so decisions, updates, and contributions stay visible.
Durable outputs, not disposable chats
Briefs, docs, snippets, and decisions stay attached to the work that shaped them instead of disappearing into prompt history.
Bounded follow-through, not runaway autonomy
Sociail is designed around visible trust boundaries, review, and approval-aware next steps before broader automation.
Current launch truth
The company vision is a broader shared-intelligence platform, but the product truth today is more grounded: a workspace-first Early Access experience for small trusted teams.
Early Access is workspace-first
The launch surface is a shared workspace for small teams, not a finished enterprise automation suite.
Agents participate in the room
The wedge is room-aware participant agents that help with shared work, comparison, drafting, and follow-through.
The horizon stays visible
Shared Intelligence is the broader collaboration pattern. Ambient modes, deeper memory, and B2X expansion come after proof.
What we are careful not to claim
- Not every AI model and integration is live.
- Not full autonomous agents or enterprise-scale automation today.
- Not a finished ambient assistant or complete memory platform.
- Not a replacement for every tool your team already uses.
The company we are trying to build
Serious enough for trust, privacy, and real work. Human enough that people can see who is building it. Ambitious enough to become a new collaboration layer, and disciplined enough to start with one room, one shared context, one durable output, and one visible next step.
Human-firstAI-nativePrivacy-mindedWorkspace-first
Mustafa Sualp and Niaz Tavabilov
Sociail is founder-led and engineering-led. Mustafa brings the company-building and product vision; Niaz anchors the technical depth required to make shared AI work feel real, governed, and useful.
Help us prove the next way teams work.
Early Access is for people who want to test shared AI work with real context, real outputs, and realistic trust boundaries.