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95% of AI projects fail — because no foundation knows what your company has decided, learned, and built. Engram is that foundation: an AI-native operating layer that turns institutional knowledge into the finished work each person needs. Permission-filtered. Customer-hosted. Your model. Outputs flow back; intelligence compounds.
Your AI investment is evaporating — not because the models fail, but because nothing remembers across the conversations.
96% of APAC enterprises will boost AI spend by 15% in 2026. 83% of APAC CFOs say AI is reshaping finance. Yet 95% of AI pilots fail to deliver ROI — because the substrate underneath is missing. Here is what changes when the substrate is there.
Tuesday morning. CEO needs Q3 pipeline by segment, last week delta. Data lives across Salesforce, HubSpot, Excel, Slack channels, customer-success tool. Today: 3 days of RevOps work. Board moment gone.
With Engram: Multi-source substrate-query in seconds. Salesforce + HubSpot + Slack-conversations aggregated, with citations. CEO answers in the meeting itself.
When a senior engineer leaves: 48% team-efficiency drop short-term. 42% of their expertise is undocumented and permanently lost. Replacement runs at 52% efficiency for 6 months. APAC SME multi-firm holdings hit hardest — smaller teams, higher concentration.
With Engram: Architecture decisions, reasoning, disagreements live in the substrate. When the senior leaves, the institutional memory stays. New hires onboard via substrate access, not Slack archaeology.
Dogfooded: SynaptiQ has run as NGIS's internal cognitive substrate for 18 months — the proving ground for everything Engram inherits.
81% of workers use unsanctioned AI tools. Singapore PDPA penalty: SGD 1M or 10% turnover (whichever higher). PDPC late-2025 precedent: "Negligence during digital migration is no longer a valid defense." Malaysia PDPA 2024: mandatory DPO + 72h breach notification.
With Engram: The sanctioned alternative that is genuinely better than shadow AI — fast (5-min install), joyful UX, customer-hosted, audit-logged. CISO unlocks budget independent of productivity-ROI debate.
Singapore PDPA + IMDA Model AI Governance + Agentic AI Framework + MAS FEAT/Veritas + Malaysia PDPA 2024 + BNM RMiT. Six weeks of audit prep per cycle. Compliance officer + outside counsel + IT — six-figure cost annually.
With Engram: Audit artefacts are byproducts of substrate operation, not reconstructions. Article-level mapping native (PDPA Section 24, MAS FEAT, BNM RMiT). Right-to-be-Forgotten as first-class lifecycle-op, not 6-month engineering project.
NGIS Pte Ltd is Singapore-based — PDPA + MAS + IMDA from first-hand experience. The Scigate BEC forensic-IR case (2026) was preserved at evidentiary grade on the SynaptiQ substrate.
75% of cross-functional teams are dysfunctional (HBR Stanford). 84% of marketing leaders report high collaboration drag (Gartner). In APAC: add language layer — English engineering specs, Mandarin/Malay/Tamil marketing context. The 2-hour workshop translating engineering specs into customer benefits, repeated weekly.
With Engram: Engineering memory queried in marketing-persona view — rendered as customer-benefit language with ROI framing. Marketing writes copy in 20 minutes. Customer gets it. Cognify's customer landing-page copy was produced exactly this way — engineering specs → finished page in hours, not days.
The Engram team studied the cognitive friction tax across eight industries and four regions. The same six failure modes appear in every one. They are not productivity problems — they are substrate problems. Engram solves them at the layer where they live.
Decisions made in conversation never reach the artefacts that downstream teams act on. New hires re-litigate questions the company already answered three years ago.
By the time a claim reaches the board deck, no one can find the calculation, the assumption, or the analyst who built it. Confidence collapses on the first hard question.
Sales has Salesforce. Engineering has Jira. Compliance has Confluence. Each holds a fragment. Nothing holds the whole. The knowledge worker becomes the integration layer.
Dissent gets sanded off in the summary. A year later, when the consensus turns out wrong, no one remembers who said so — or why they were dismissed.
PDPA. MAS audit. BNM RMiT. SOC 2. EU AI Act-ready. Each demands provenance Engram already has natively. Bolt-on compliance costs six figures per audit cycle — or worse, the audit fails.
Every new prompt is amnesia. Multi-turn reasoning collapses past 128K tokens. The substrate that gives LLMs durable memory is the missing piece — not better models.
Most cognitive tools serve one audience — the individual, the team, or the enterprise. Engram is the first substrate designed multi-tenant-multi-user from Layer Zero. The same knowledge graph reaches from a single department all the way to peer federation between independent organizations.
The smallest unit. Sales. Engineering. Legal. Each gets its own knowledge graph, its own retention policy, and its own audit log — while sharing the substrate underneath. Decisions made here surface upward when (and only when) they should.
SME multi-firm holdings start here. They often run four to ten departments in parallel from day one.
active users
one organizational lens
Sales sees Sales.
Every claim, decision, and dissent scoped to the department. No cross-leak. No accidental knowledge bleed when someone moves teams.
7-year retention. Audit isolated.
SOC 2 + PDPA evidence built-in. Right-to-erasure scoped per department. Retention policy configurable per team.
A regional office. A factory site. A national operating unit. Cross-departmental memory at branch scope — without sharing it back to HQ unless the data-residency rules say so. The substrate handles that distinction natively.
For multinational SMEs and Fortune-class regional HQs, this is where the federation logic earns its keep. Singapore data stays in Singapore. Frankfurt data stays in Frankfurt.
data-residency aware
regional sovereign
Singapore asks Singapore.
Cross-departmental memory at branch scope. Singapore data stays in Singapore. Kuala Lumpur data stays in KL. The substrate enforces the boundary — not the application.
Data-residency cryptographic, not policy.
Zero cross-region leaks since deployment. Auditor-queryable boundary. APAC regulatory zones honoured natively (MAS Singapore, BNM Malaysia, HKMA Hong Kong, APRA Australia).
Where compliance lives. Where audit happens. Where governance is enforced. A subsidiary is the unit your regulators ask about — and the unit your CFO consolidates. Engram makes both queries native, not bolt-on.
Fortune-class industrials typically begin here. They standardize Engram at the subsidiary layer first, then federate up.
where audit happens
regulators ask
Where the regulator asks.
The unit your CFO consolidates. The unit your auditor queries. Branches roll up under one legal entity — one append-only log, one access boundary, one governance policy.
PDPA. MAS audit. SOC 2.
Native. Not bolt-on. PDPA Singapore + Malaysia, MAS audit packages, SOC 2 Type II. GDPR + EU AI Act ready for global expansion. Six-figure audit cycles collapse to a query.
The substrate-level innovation. Two enterprises — competitors, partners, supply-chain peers — can federate selectively without either ceding control of its data. A pharma sponsor and its CROs. An OEM and its tier-1 suppliers. A consortium of banks under shared regulatory pressure.
This is what GitLab is to git, what ServiceNow is to workflow: an open substrate that becomes the connective tissue between organizations that otherwise cannot speak.
sovereign · selective
cryptographically scoped
Pharma shares with CROs.
Banks share under consortium rules. Suppliers share evidence — without sharing pricing. The substrate is the connective tissue between organizations that otherwise cannot speak.
Cryptographically scoped. No PII leaked, ever.
Selective claim publishing. Peer-by-peer policy. Trust keys per partner. Every shared claim auditable from both sides — nothing happens off the record.
The top of a stack we have built layer by layer over four years. MeshWave wires the field data. Cognify turns data into operational intelligence. SynaptiQ has run as our internal cognitive substrate for 18 months. Engram is that substrate, productised. Four shipped product lines, production-deployed with Fortune 500 and institutional clients across SEA.
Days to deploy. Years to outlive.
Industrial LoRa-Mesh IIoT — wireless production-floor communication and mission-critical sensor networks, multi-region and multi-tenant from day one. Long-range, self-organising peer mesh: drop nodes in place and the network forms itself — no gateway, no IT integration, no cabling. Rollout in days, not weeks. Battery-powered with multi-week autonomy. One stack drives status indicators, Andon terminals, and sensor nodes.
Real-time weigh-in. Audit-grade trail.
Wireless aircraft weight-and-balance for heavy maintenance and overhaul — in the hangar for months, or out on the apron. Ultra-low-power load cells run 90 days per charge, streaming over MeshWave LoRa. Technicians pick aircraft type and model from a complete database; the software visualises live and produces the audit-ready report in seconds — no paper-to-Excel detour. No fixed scales. No cabling. No paper ticket. Customer-hosted, same peer-mesh stack.
The data ISO forces. The insights they actually need.
ASEAN manufacturers already log every cycle, reject, and stoppage — ISO and IATF compliance demand it. The data exists. The BI engineer does not. Cognify reads what they already capture and turns it into a structured intelligence report: findings for management, prioritised actions for the shop floor — written in 6 minutes, in the tone the reader actually needs. Six analysis areas, from OEE to custom.
Built for ourselves first. Now built for you.
SynaptiQ is the substrate we built for ourselves first. For 18 months it has held every decision, every learning, every disagreement across our team — the backbone behind everything NGIS does. We trusted our own work to it. We watched it scale. We watched it survive every sprint and compound with every project. Engram is what happens when we take that lived backbone and turn it into a product any organisation can run.
NGIS Track Record is presented as evidence of team capability and design discipline. MeshWave, AeroScale, Cognify, and SynaptiQ are distinct NGIS product lines — not Engram customers, not Engram traction. Engram is pre-launch.
No Engram Cloud — ever. Software license, you host. Apache-2.0 Community Edition forever free. Paid tiers add federation, governance, SLA, and the things Fortune-class enterprises actually need. Annual prepay.
Annual prepay. Customer-hosted only — no Engram Cloud. Bring your own open-weight LLM. Apache-2.0 Community Edition stays free, forever. Transparent volume pricing — no "Contact Sales" wall.
NGIS PTE LTD is a Singapore-incorporated industrial-technology company building the Cognitive Substrate for modern organizations — the infrastructure layer that lets enterprises remember, reason, and audit their AI decisions across teams, tools, and time.
We are AI-native, not AI-first. The distinction matters: AI-first companies bolt AI onto existing products; AI-native companies build the architecture around AI from Layer Zero. Multi-tenant from day one. Federated by design. Compliance-by-construction. Customer-hosted only.
Founded in 2024 and operating from Singapore with production deployments across Malaysia, NGIS already ships three software systems running with Fortune 500 and institutional clients — MeshWave (LoRa-Mesh IIoT), Cognify (AI manufacturing intelligence), AeroScale (aircraft weighing for Malaysia Airlines at KLIA). Engram is the substrate layer we have been building underneath them.
Engram pilot program runs now through GA in H1 2027. Join the waitlist for updates and pilot announcements, or apply directly as a founding customer for paid pilot access.
Be the first to know when Engram is ready. Pilot announcements, founder briefings, product updates. Unsubscribe anytime.
Founder access. Founding price locked. Weekly working cadence.
Small cohort between now and commercial GA (H1 2027). Founder reviews each application personally — response in 5 business days. We say no often; an honest no beats a misaligned yes.