01 An ecosystem for human potential
Technology that works with your world.
Tuturuuu brings work, knowledge, and collaboration into one open ecosystem. We start with useful tools and build toward an assistant that understands your goals, connects the context, and helps you move forward.
The Tuturuuu vision
TUTURUUU
WorkPeople
Knowledge
Learning02 The invisible work
The work connects. The tools often don’t.
A customer promise arrives by email. Its plan lives on a board. Its decision happens in a meeting. Its context disappears into a document. People become the integration layer—and even a powerful AI sees only fragments.
A familiar operating challenge09:00 / The promise
A new project arrives. Who has the time and skills?
13:00 / The scramble
Plans change. The schedule and the task board disagree.
18:00 / The cost
The team worked all day. The most important work is still waiting.
03 The world in motion
The shift is already here. The operating model is still forming.
AI adoption is broad, agent use is accelerating, and skill requirements are changing. These signals point to a need for better ways to organize work, learn, and stay in control—not merely another place to ask a question.
External evidence · different populations and measures; not directly comparableSources[1] Stanford HAI · AI Index 2026[2] Microsoft · Work Trend Index 2026[3] World Economic Forum · Future of Jobs 2025
04 Our north star
Built in Vietnam. Thinking far beyond it.
We want to build a Vietnamese technology company with the breadth of innovation people associate with Google. Our own path is open: connected products, sustained research, and a JARVIS-like assistant that works with you while keeping you in control.
A global-scale ambition, earned one useful capability at a time
AI concept illustration · not an existing facility or product screenshotUnderstand
Ground assistance in the context you choose to share.
Anticipate
Surface opportunities and constraints before they become urgent.
Act with you
Propose, explain, ask for approval, and learn from outcomes.
05 Why an ecosystem?
Better together. Stronger over time.
AI makes it easier to build an app. Maintaining a dependable system is a different challenge. Shared data, permissions, infrastructure, and engineering let our products improve together. We add products where those connections solve a real need.
Our strategic thesis · durability must be earned in operationBuild the first version
Help anyone create and customize useful tools. Lower barriers are an opportunity.
Maintain the whole system
Permissions, security, reliability, migrations, and interoperability need ongoing care.
Compound the investment
Ship focused products on shared foundations. Expand where reuse and customer value justify the maintenance.
06 The foundation exists
Your work is connected. Your tools should be too.
Tasks capture what you want to do. Calendars show when you can do it. Conversations and documents preserve what your team knows. Connecting these tools gives an assistant the context to offer more useful help.
Existing product foundations · availability variesWork & collaboration
Tasks · Calendar · Track · Meet · Mail · Chat · Drive · Colab
Business & people
Contacts · Finance · Pay · Inventory · Forms · CMS
Learning & intelligence
Learn · Teach · Mira · Rewise · Nova
07 Product in focus / Tasks
Make the next step clear.
Turn ideas into tasks, organize them across boards and projects, and use smart suggestions to plan what comes next. Every task adds context about your priorities and how you work.
Implemented product capabilities · availability and permissions apply Tuturuuu Tasks From intention to a plan.
Suggested priority, estimate, and next step. You review.
08 CALENDAR × TASKS
A plan that fits your day.
Smart Calendar schedules tasks and habits around your events, working hours, priorities, and deadlines. Review the suggested plan, make adjustments, and keep time for what matters.
Smart scheduling capabilities implemented · configuration and availability applyRespect reality
Availability, working hours, and existing events.
Make a useful plan
Priority-aware scheduling for tasks and habits.
Keep adapting
Review the schedule as priorities change.
09 MAIL × MIRA
Fewer loose ends. A clearer inbox.
Smart labels, assisted drafting, and follow-ups are the starting point. We are building toward Mira finding action items in your mail and connecting them to tasks and your calendar, so important commitments are easier to follow through.
Mail AI foundations implemented · Mira action extraction is a development directionUnderstand
Smart labels and contextual drafting foundations.
Extract
Building toward Mira-powered action items and commitments.
Follow through
Reviewed replies, follow-ups, and a path toward inbox zero.
10 CHAT × MIRA
People and AI, working in the same conversation.
Smart Chat brings people, channels, files, and AI conversations into one workspace. We are building toward AI colleagues that can follow the discussion and help turn agreed decisions into coordinated work.
Chat foundations implemented · deeper coordination in developmentTalk together
Direct messages, groups, channels, and AI conversations.
Keep the context
Conversation history and Drive-backed attachments.
Coordinate the next step
The direction: humans and AI collaborating across workflows.
11 Product in focus / Meet
Meet your AI colleague.
Mira joins Tuturuuu Meet through room chat and optional Live voice. Teams can ask for help during a discussion, use private assistance, and review proposed workspace actions before moving ahead.
Implemented product capabilities · availability and permissions apply@mira What should we test next?
12 DOCUMENTS × WHITEBOARDS
Think together. Build on what you learn.
Use realtime whiteboards to explore ideas and collaborative documents to develop them. Shared files, editing, and workspace context help a team keep its knowledge connected to the work.
Existing collaboration foundations · cross-product depth continues to growSketch together
Shared canvases and realtime whiteboard collaboration.
Write together
Collaborative rich-text editing and shared knowledge.
Connect the outcome
Files, people, tasks, and conversations in one product direction.
13 Why an ecosystem matters
An assistant with the context to help.
A useful answer often depends on more than one app. Mira is our assistant across the ecosystem. We are building permission-aware connections between messages, tasks, knowledge, and schedules so it can help with the next step.
Connected-context strategyShared context
People, projects, knowledge, and workspace permissions.
Useful decisions
Relate commitments to capacity and learning needs.
Compounding value
Each useful workflow makes the next connection more valuable.
14 A day in the future
“Can we take on this project?”
Follow one future workflow: Mira connects a customer request with delivery commitments, available capacity, and skills the team wants to develop. It proposes options for people to review. The value is a better decision with the relevant context in reach.
Illustrative future workflowUnderstand the commitment
Bring together the brief, deadlines, and agreed requirements.
Compare the options
Explore workload, skills gaps, and schedule trade-offs.
Turn a decision into progress
Approve a plan, coordinate the work, and review what actually happened.
15 Start where the stakes are real
Start with everyday team decisions.
Do we have enough capacity? What skills should we develop? How can a new teammate get up to speed? Our existing tools provide a starting point for a configurable prototype, with human review and clear measures of success.
Proposed workforce decision-support prototypeSources[4] OECD · Generative AI and the SME Workforce (2025)
01 / Capacity
Where is work at risk, and how could we rebalance it?
02 / Skills
What should the team learn to deliver the next opportunity?
03 / Onboarding
How can a new teammate become confident and effective sooner?
16 Use case 01 / Workload planning
See the trade-offs before taking on more.
Bring availability, estimates, and deadlines into one view. Compare changes to timing, scope, and support so people can decide what the team can realistically deliver.
Proposed pilot moduleInputs
Task estimates, due dates, working calendars, and declared availability.
Configurable outputs
Team capacity views, scheduling conflicts, and alternative allocations.
Evaluation
Planning time, missed commitments, and staff feedback against a baseline.
Concept illustration · not measured results
17 Use case 02 / Workforce development
Make learning part of the work.
Employers surveyed by the World Economic Forum expect 39% of core skills to change by 2030. We want to connect voluntary skills profiles, mentoring, and development plans with real projects, so learning has a practical place in the working week.
Proposed pilot moduleInputs
Role requirements, self-declared skills, and agreed learning goals.
Configurable outputs
Skills maps and learning suggestions with evidence and uncertainty.
Evaluation
Learning completion, practical assessments, and employee usefulness ratings.
Concept illustration · not measured results
18 Explore before you commit
Explore the options before you decide.
Adjust people, available hours, and demand to see how a simple capacity model responds. This sandbox illustrates a decision-support approach: make assumptions visible, compare options, and let people decide.
Interactive illustration · synthetic dataWeekly capacity sandbox
Compare with baseline
Baseline: 6 people × 24 hours = 144 hours; 180 hours of work leaves a 36-hour gap.
Synthetic illustration. Capacity = people × available hours. Ignores skill fit, dependencies, leave, and individual preferences; not a staffing recommendation.
19 HIVE × MIND
Test coordination in simulated worlds.
We research how multiple agents share context and coordinate workflows. Hive and Mind provide places to explore scenarios, inspect interaction histories, and compare approaches before considering real-world use.
Active research and experimentation · simulation is not real-world validation
AI concept illustration · not an existing facility or product screenshotSet the scene
Roles, world context, and scenario conditions.
Coordinate agents
Interaction pairs and authored workflows.
Observe and learn
Run histories, simulation ticks, and research sessions.
20 Human agency is the design principle
More capable AI. Clearer human control.
People should know what an assistant can access, what it can do, and when approval is required. We design toward clear permissions, visible actions, and practical ways to question, correct, or stop the system.
Pilot governance requirementsSources[5] Anthropic · Trustworthy agents in practice (2026)
Use only what is needed
Agree purpose, access, retention, deletion, and consent or another appropriate basis before ingestion.
Make outputs contestable
Show sources and assumptions, test errors and bias, and support correction and escalation.
Keep people accountable
No autonomous hiring, firing, pay, or disciplinary decisions. No covert monitoring or inferred emotion scoring.
21 Make the proof measurable
Measure what actually improves.
Agree on a baseline, then track task success, corrections, review time, user experience, and cost. Expand a pilot when the results show it works for the people and setting it was designed for.
Proposed evaluation frameworkDecision quality
Compare recommendations with expert review; inspect errors and unsupported answers.
Workflow value
Measure task completion time and user feedback against the current process.
Responsible adoption
Track accepted, edited, and rejected suggestions with consent and minimal telemetry.
Concept illustration · not measured results
22 A bounded path to proof
Start small. Learn before expanding.
An indicative 12-week collaboration starts with one workforce question and an evaluation plan. Adapt the relevant tools, test with users, and use the results to decide what comes next.
Illustrative delivery plan · subject to scopingWeeks 01–03 / Define
Choose the use case, appoint a technical lead and domain owner, agree data access and evaluation.
Weeks 04–08 / Adapt
Build the bounded prototype, configure outputs, test scenarios, and review safety and usability.
Weeks 09–12 / Evaluate
Run a supervised pilot, report results and limitations, and recommend a scale-or-stop decision.
23 Scope before scale
Bring the problem. Build the solution together.
Founded by Võ Hoàng Phúc, Tuturuuu contributes product engineering and maintained software. Partners contribute domain expertise and real workflows. Together, we agree on 1–3 problems, responsibilities, data access, scope, budget, and success measures.
Proposed engagement structure · quotation after discovery
AI concept illustration · not an existing facility or product screenshotScope & outputs
Choose 1–3 issues, agreed data sources, configurable reports, simulation, and evaluation deliverables.
Budget & cost controls
Separate discovery, adaptation, testing, and support. Set model/hosting limits and milestone payments.
Handover & next decision
Provide documentation, limitations, evaluation results, and an explicit support or exit plan.
24 A business designed to compound
Useful products. A business built to last.
Subscriptions and clearly scoped technical collaborations support product delivery, maintenance, and research. We want everyday value for customers to fund an ecosystem that keeps improving.
Commercial strategyAdoption
Accessible core workflows help individuals and small teams get started.
Expansion
Paid workspace capacity and advanced capabilities support growing teams.
Partnerships
Scoped implementation and support can turn validated pilots into repeatable offerings.
25 A focused way into a broad market
Start in Vietnam. Grow through understanding.
Build with individuals, small teams, educators, and operators close to home. Learn from their language and daily work, then bring proven approaches to Southeast Asia and beyond through local partnerships.
Market-entry strategyInitial focus
Service businesses, education teams, and knowledge-intensive MSMEs.
Distribution
Product-led adoption, implementation partners, and learning communities.
Expansion gate
Repeatable activation, retained use, support capacity, and locally validated workflows.
26 Explore the subscription
Find a starting budget.
Estimate a workspace subscription using the public catalog. Implementation, evaluation, taxes, and add-ons are considered separately when we agree on the scope.
Current prices · capacity changes awaiting rolloutLoading current prices…
27 Open by design
Open source. A path to greater independence.
Our platform is available under Apache 2.0. We are working toward portable data, replaceable services, and deployments people can operate independently. Current services still rely on external infrastructure and AI models.
Open-source platform today · wider portability and deployment choice are ongoing workInspect and extend
Read the source, build on documented APIs, and adapt the software under its license.
Keep your knowledge
Develop reliable export, import, and interoperable workflows across the ecosystem.
Choose your future
Work toward more deployment and model options without abandoning useful integrations.
28 Progress through evidence
Connect. Validate. Then expand.
The foundations are here; integration is the work. Strengthen connected products, prove reviewed workflows with partners, then scale trusted coordination. Each stage must leave people with more useful capability and more control.
Strategic roadmap · no fixed launch promisesNow / Strengthen the foundation
Improve connected workflows, product reliability, and access boundaries.
Next / Prove focused intelligence
Validate workforce use cases and supervised coordination with partners.
Beyond / Expand the partnership
Broaden context-aware assistance and research more proactive, permissioned action.
Concept illustration · not measured results
29 The long-term intelligence architecture
What a truly helpful assistant will need.
Reasoning, memory, learning, creativity, and action all matter. Our long-term research explores how they can work together around a person’s goals, with permission and accountability built into the system.
Conceptual architecture · not a claim of five completed systemsMira / The relationship
A natural way to think and work with intelligence.
Aurora / The coordination
Context and permissioned action across the ecosystem.
Rewise / The knowledge
Bring relevant knowledge into the right moment.
Nova / The refinement
Explore how intelligence is instructed, evaluated, and improved.
Crystal / The physical horizon
Research a future where assistance reaches beyond the screen.
30 Beyond the screen
From Vietnam to a wider world.
The ambition goes beyond productivity, toward learning, discovery, and eventually help in the physical world. We get there by building dependable tools, connecting knowledge, and keeping people in charge of where technology takes them.
Long-term research vision
AI concept illustration · not an existing facility or product screenshotMira / The relationship
An approachable partner across the ecosystem.
Connected intelligence / The foundation
Context, knowledge, evaluation, and orchestration working together.
Beyond software / The horizon
Explore physical-world assistance only as safety and research maturity allow.
31 Evidence & references
Big ambitions deserve traceable evidence.
The statistics in this deck describe the world around Tuturuuu. They are not Tuturuuu performance results. Read each source with its date, sample, and methodology; our strategy is an interpretation of those signals.
Sources reviewed September 2026 · projections and self-reports are labeled- 01Stanford HAI · AI Index 2026
Reports 2025 organizational AI adoption at 88% of surveyed organizations; this is survey evidence, not a census of all businesses.
- 02Microsoft · Work Trend Index 2026
15× growth in unique active agents on Microsoft 365 Copilot Agents and SharePoint, measured in rolling 28-day windows, March 2025–March 2026. Vendor telemetry, not all agents worldwide.
- 03World Economic Forum · Future of Jobs 2025
Employers expect 39% of core skills to change by 2030. The broader survey covers over 1,000 employers across 55 economies; this is an expectation, not an observed outcome.
- 04OECD · Generative AI and the SME Workforce (2025)
Late-2024 survey of over 5,000 SMEs in seven countries: 31% use generative AI; 65% of users report improved employee performance. Self-reported, not a causal trial or ASEAN-wide estimate.
- 05Anthropic · Trustworthy agents in practice (2026)
Primary developer discussion of agent permissions, oversight, and prompt-injection risks. Referenced as design context, not independent validation of Tuturuuu.
- 06Tuturuuu · Platform source and license
Public source, Apache 2.0 license, and product implementation. Code availability does not imply every component is ready for independent deployment.
32 Build the next era with us
Build a future you can make your own.
We are building an open ecosystem and a deeply capable assistant within it. Bring a problem worth solving, a research question, or a team ready to build. Let’s make useful technology that people can understand, shape, and own.
Let’s start with one meaningful problem
AI concept illustration · not an existing facility or product screenshotFor people
More space to create.
For teams
More confidence to grow.
For partners
A foundation to build on.