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TINA gives a person, a family or a company a team of AI staff. They plan and carry out whole jobs across your tools, act only with your permission, and every action is recorded.
TINA is an agentic AI platform delivered as a messaging app. It gives you a team of digital staff: the agents appear as contacts, you brief them the way you would message a colleague, and behind the chat a workflow engine plans the job, checks what each agent is allowed to do, pauses for your approval and records every step. The chat is not the product. It is simply the easiest way ever invented to manage a workforce.
Many specialist agents: finance, admin, research, family life. Each has skills, a schedule and limits that you set.
One brief becomes a plan with steps, carried out across your calendar, accounts, files and customer records.
An agent can only do what you are allowed to do. Important steps pause for a named human, and everything is logged.
It works like the messaging apps people already use every day. If you can message, you can manage a workforce.
Handing work to someone has always needed three things: trust, clear limits, and a record of what was done. We are building those three things for AI, so giving a job to an agent feels as normal and as safe as giving it to a colleague.
People and AI agents doing real work side by side, under per-person permissions and human approvals.
Anyone can build and deploy an AI-powered mini app into that workspace. Approved partners can sell theirs in the marketplace, with safety enforced by the platform.
A marketplace where those apps sell products and services, under the same permission and approval rules.
Today's assistants serve one person at a time. That is fine while the AI writes emails. It breaks the moment the AI does something real: pays a supplier, updates a customer record, approves a leave request. Someone has to answer for what it did.
Running a home or a small business is teamwork. But today's AI talks to one person at a time, in private. Everyone gets their own separate AI that knows nothing about what the others have planned, so the same things get explained again and again.
ChatGPT piloted group chats in late 2025 and retired them within a year. A shared chat that can only talk gives people no reason to stay. The job is doing the work, safely.
The enterprise options assume an IT team, per-seat licences and a stack of identity and policy setup before anything is safe. Most small businesses here have none of that.
Most people do not want to chat with an AI. They want the school run remembered, the bills paid on time and the weekend planned. TINA comes with ready-made mini apps, staffed by its agents, so from day one it feels like a family organiser.
"Who is picking up the kids on Thursday?" It checks everyone's week and books it in.
"Car insurance renews in 12 days. Last year you paid S$1,140. Renew, or compare?"
Plans the week's dinners, builds the shopping list, and reorders the staples.
Tracks household spending and pocket money, and who paid for what.
Earn points at partner shops and cafes, and redeem them right inside the chat.
"When does Mum's passport expire?" Passports, policies and warranties, remembered.
"Plan the June holiday." Flights, stays and a day-by-day plan, agreed in the family chat.
"Dad's dental check is due." Appointments, jabs and medicine reminders for the whole family.
"The aircon service is due again." Repairs, chores and the helper's schedule, organised.
We are in discussions with AI providers to fund free starting credit, so a new family can try TINA at no cost, to them and largely to us.
A small business does not buy "AI". It buys fewer chores. TINA launches with four business apps every small firm needs, staffed by its agents and free for the first year, in exchange for one thing.
A simple customer system: members, sales opportunities and reward balances in one place. The agent keeps it current and chases the follow-ups.
Points and perks that bring repeat customers back, run entirely from the chat.
Leave requests, rosters and approvals, handled inside the team chat.
Snap the receipt. The agent files the claim. The boss taps approve.
All four apps are free for year one when the business switches on our rewards engine for its customers. That one condition powers our growth, as the next slide shows. Free is the front door, not the business: paid plans for more agents, staff and tools sit behind it.
One condition on the free business pack sets a loop in motion.
It gets the four business apps and the rewards engine at no cost.
Its customers collect points every time they spend there.
To track and redeem their points, they download the app.
The family organiser gives them a reason to keep it.
A growing audience makes joining worth it for the next shop.
Shops bring in shoppers. Shoppers make the network worth joining for shops. So the cost of winning each new customer falls as the network grows, instead of rising.
A live prototype of all three surfaces is available to walk through. Every instruction takes the same five steps. Nothing skips the check, and nothing important skips the human.
A user types a request in a thread, or mentions an agent in a group.
TINA works out what is needed, picks the right agent and plans the steps.
TINA checks what that person is allowed to do, tool by tool, action by action.
Anything important asks a human first. Who decided, and when, is recorded.
The agent does the work in the connected tool. Every step is logged.
Web, iPhone and Android. Agent contacts, group threads, approval cards, tool connections and a mini app store.
Where partners submit apps, set prices, track orders and see exactly what they earn and when they get paid.
Where we manage customers, billing, partner sign-ups, app reviews, pricing and support, with a full activity log.
Every agent works under the identity and access of the person asking. In a group chat, five people get five different results from the same agent, because it borrows each person's access in turn, never everyone's access combined.
In January 2026 Singapore's IMDA launched the world's first safety framework for AI agents. TINA was designed to its four principles before it was published. In this region, that alignment opens doors rather than adding cost.
Every agent, tool and app must be granted to a person before they, or their agent, can even see it.
Payments, permanent changes and outside messages pause for a human. Who decided, and when, is recorded.
Rules and spend caps on every action, defence against hidden malicious instructions, and an off switch per app.
Users see what each app may do before it runs, watch agents work in the thread, and can review the full log.
We hold no patents and we do not claim a smarter AI model. Our protection comes from how the product is built, where it is built, and what accumulates inside it.
Per-person permissions cannot be bolted onto a product built for one user. Consumer AI companies would need to rebuild their foundations.
Designed to Singapore's AI safety framework from day one, with international security standards informing the build.
A customer's tool connections, agents, approval rules, history and app subscriptions all live inside TINA.
TINA works with any AI model and switches as better or cheaper ones appear. Falling AI prices improve our margins.
Over 150 documented requirements, three working prototypes and a full permission design, before production code.
Every partner app makes TINA more useful to customers, and every customer makes TINA more attractive to partners.
Over 71 million small businesses across Southeast Asia, plus every household in those markets. Everyone who could one day run an AI workforce.
Digitally active small businesses in Singapore and Malaysia. Singapore alone has over 300,000 businesses, 99 percent of them small.
About 4,000 paying customers, still under 1 percent of our first markets, won through resellers across the region.
Sized from the bottom up: customers multiplied by what each pays per year. The S$2M raise funds the first S$1.4M of this by year three; the aim is the trajectory it puts us on.
5 to 200 staff, on Xero, Google and everyday tools. They want AI that does real work, cannot afford Microsoft's option, and have no IT team.
The same product with simpler settings. Shared usage, spending limits per member, parental controls.
Staff directory sync, private databases and local data storage, sold through regional resellers.
ChatGPT sells to individuals, or to teams at USD 30 per person per month. There is no household plan at all.
Google's family option now shares the subscription and even pools some usage credits. What no one shares is a workspace: no family threads, no per-member limits, no say over what the AI may do.
A family is simply a small team with friendlier settings. Underneath, it is exactly the same platform as a company.
Steady subscription income pays for the platform. The marketplace and payment fees are what make the business compound over time.
Plans for every customer type, from one person to a big company, with AI usage included.
Heavy users buy extra AI usage in top-up packs, instead of being cut off.
Partners sell mini apps at their own prices. We keep 20 percent of what subscribers pay.
When mini apps sell products or services, we earn a small fee on every transaction.
Regional resellers sell TINA at wholesale pricing in markets we do not enter directly.
The AI Delivery Pod adds a build fee plus metered usage when customers create apps of their own. Not counted in this plan.
Every partner app makes TINA more useful to customers, and every customer makes TINA more attractive to partners. Our safety system is what lets outside apps in without letting outside risk in.
Two free front doors bring people in. The paid platform sits behind them.
| Consumer AI ChatGPT, Gemini | Enterprise agents Copilot, Agentforce | Work chat Slack, Teams | TINA | |
|---|---|---|---|---|
| Group chat with people and AI together | retired | ✓ | ✓ | ✓ |
| Agent limited to the asker's own access | · | ✓ | · | ✓ |
| Outside tools safe out of the box, no setup project | · | · | · | ✓ |
| AI agents without an IT department | ✓ | · | · | ✓ |
| Family plan with a shared workspace and parental controls | · | · | · | ✓ |
| AI app store where partners earn from families and small firms | · | · | · | ✓ |
| Human approvals and a log of every action | · | ✓ | · | ✓ |
PALS proved businesses will let AI agents do real work. YAPA proved individuals will run their lives through a chat assistant. Neither was built to serve many customers at scale, with billing and a partner store. TINA is that rebuild.
Behind TINA, with real users and paying customers.
User app, partner portal and control centre, demonstrable today.
Designed into the platform from day one, not bolted on later.
Everything above was built founder-funded.
A complete build blueprint, covering permission design, data model and the integrations list, was finished before production code begins. The build partner is engaged.
Figures are yearly income levels reached by each year end. Revenue = customers x plan price + AI usage top-ups + 20% of marketplace sales + payment fees.
| Key measure | Year 1 | Year 2 | Year 3 | Year 4 aim | Year 5 aim | Driver |
|---|---|---|---|---|---|---|
| Paying customers | 25 | 150 | 550 | ~1,500 | ~4,000 | Direct, then resellers |
| Revenue per customer per year | S$1,800 | S$2,000 | S$2,200 | ~S$2,350 | ~S$2,500 | Staff count and plan |
| Yearly subscription income | S$45k | S$300k | S$1.2M | ~S$3.5M | ~S$10M | Customers x price |
| Marketplace and payment revenue | S$5k | S$30k | S$150k | ~S$350k | ~S$800k | Partner apps live |
| Gross margin after AI cost | 65% | 72% | 78% | ~80% | ~80% | Usage metering |
| Monthly spend, net | S$70k | S$80k | S$95k | next round | next round | Headcount |
Every early investment carries risk. These are the four we watch most closely.
Three apps plus billing and payments in twelve months is a lot.
Our answerPhased delivery tied to grant milestones, and a strict written list of what version one will not include.
A store with no named partners is a promise, not a product.
Our answerSigning launch partners now. Two named partners at close is a condition we set ourselves.
Hidden malicious instructions inside data are the most serious risk for AI that does real work.
Our answerTool output treated as data, never instructions. Risky actions default to human approval. An off switch per app.
Microsoft or OpenAI could come after small businesses.
Our answerNeither knows how to sell to, or price for, a five-person shop on mixed tools. Our protection is who we can reach, and how cheaply.
Two shipped products and three working prototypes, delivered before raising a dollar.
Twenty years building enterprise and consumer platforms: product head for enterprise cybersecurity at ST Engineering, led a 60-strong product and engineering organisation at SPH Media, and shipped a SaaS loyalty platform adopted by retail groups across Southeast Asia. Conceived and shipped PALS and YAPA, the two products TINA rebuilds as one platform.
More than 15 years building scalable enterprise systems for high-traffic workloads. Leads the TINA version one build single-handedly: the governed AI orchestration service with its agent tooling and retrieval (RAG) engine, the permission engine, billing, tool connections and all three apps, delivered against a fully specified blueprint of over 150 requirements.
A technologist turned business developer with more than 30 years of BD experience, who sold the first company he founded for USD 5M. Runs channel businesses in connectivity as chief executive of Solutions4u Global and eSIM4U, selling through distribution partners across the region. Owns TINA's reseller and partner rails.
Chew Boon Hong · BD and presales. Enterprise IT veteran across Beyondsoft and NCS, with hands-on enterprise AI delivery in Singapore's banking sector.
Ng Boon Teck · BD, Singapore and Vietnam markets. Digital transformation and business development, based in Vietnam and networked through the Singapore business community in Hanoi.
Funds 24 months of build and launch: S$1.8M planned spending plus a S$200k reserve.
AI models get cheaper and better every quarter, and none of that answers who is responsible for what the agent did. TINA is building that answer, and everything else plugs into it.