What you have now reads the public channels we could find for you. A custom build reads your sales, your suppliers, your bookings, and the channels that are closed to automated readers. Same machinery, your business at the centre of it.
The same four problems come up in almost every conversation we have.
Your own data becomes a source. Sales, point of sale, stock, bookings, supplier price lists. A private connection reads it on schedule. It reads copies only, writes nothing back, and never leaves your own deployment.
The closed channels, opened. Paywalled trade press, official data services, regulator portals, supplier lists, sites that block automated readers. Your channel map already names the ones that matter to you.
No caps, and faster when it matters. As many channels as your coverage needs, read hourly wherever speed changes a decision.
The rubric in your head becomes software. Supplier risk, deal attractiveness, margin impact. Written down once, applied consistently, labelled as judgment, and it stays your intellectual property.
Charts built for your business. The rates you buy at, the prices you pay, competitor movement, your own volumes against demand. Calculated, auditable, updated every run.
It learns your taste. Your corrections tune what counts as relevant, instead of a fixed one-size filter.
Full analytical briefs. Cited summaries, key figures with their labels, your charts, and the sections you ask for. Not only a headline digest.
Your cadence, your people. Daily or hourly, by email and WhatsApp, to the team members who need each part, with a human sign-off wherever you want one.
Your domain and your access control. Public briefs that build your search presence, private ones behind your own sign-in.
The four questions every owner asks in the first ten minutes.
It reads copies of your data. It writes nothing back and changes nothing you use today.
Your team keeps working in the tools they already use. No new software for anyone to learn.
It gathers, checks, calculates and labels. The call is always yours.
Nothing is published anywhere unless you choose to publish it.
| What you have now | A custom build | |
|---|---|---|
| Channels | 5 active public channels, 10 stored | No cap, including private and custom-built connections |
| Your own data | Not connected | Sales, stock, bookings and supplier data, read on schedule |
| Cadence | A daily digest at your chosen time | Your schedule, down to hourly where it matters |
| Analysis | Relevance, themes and one angle | Your metrics and scoring rules, as your own private module |
| Reports | Daily digest and your library | Full cited briefs, several formats, sign-off steps |
| Where it runs | Our shared service | Your own database, your own domain, yours alone |
| Delivery | Email to your account address | Email and WhatsApp to your team, in your branding |
None of the three routes is cheap, fast and tailored at the same time.
One-off, plus 20 to 30 per cent a year to maintain it. Around 60 per cent of AI projects fail on data readiness.
And upward, for one AI engineer. A two to three person team runs S$300K to S$500K a year, and the talent is scarce.
A year, for a 10 to 50 staff software stack. Generic, fragmented, with around 30 per cent of licences unused.
A Phase 1 build is one deployment, at a fixed scope and a fixed price, quoted at the first meeting. The monthly partnership keeps it running and improving, and you can stop any time.
Sources (2026), USD converted at S$1.35/US$. Custom AI build: AI development cost guides (Kellton, Azilen, Dreamztech, Appinventiv); maintenance 20 to 30 per cent a year; Gartner data-readiness forecast. In-house: NodeFlair Tech Salary Report 2026, Morgan McKinley, Robert Half, loaded 30 per cent for CPF, overhead and hiring. Software: Cledara 2026 per-employee benchmarks by company size, Zylo SaaS Management Index, BetterCloud. Figures indicative, for illustration only.
You start somewhere real, not with a large project.
One meeting. We pinpoint the single highest-impact thing to build first. Your setup here is already most of the input.
One deployment, fixed scope and price. Live in about two weeks, with your channels connected and your first real brief produced.
Weekly updates for the first six weeks while we fit it to your real data, then monthly improvements after that.
Add the next use case when you are ready, scoped and priced separately.
The recurring work an off-the-shelf tool or a one-off build cannot give you.
Better and cheaper models launch every month. We move you onto them.
The services underneath change constantly. We keep everything working.
Sites change, connections break. Keeping your coverage intact is our job, not yours.
Where AI helps you next, as your part-time chief AI officer.
Onboarding, help when they need it, and priority support.
Backed up, secured, and running.
21 years of digital solutions, now building custom AI for Singapore businesses.
documents automated for a family office, replacing manual entry.
pages turned into investor-ready analysis for a logistics firm's IPO and investor relations work.
of delivered digital work behind every deployment we run.
The analytical layer is built on private equity investment discipline: a defined process, every claim sourced, every judgment labelled, and a decision a person can defend afterwards.
Intfra is available to Singapore AI Association members on member terms.
One meeting. We show you what is possible for your business and what we would build first. You leave with a written scope and a price, whether or not you go ahead.
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