Solutions built for your industry.
Purpose-built data solutions that address the unique challenges of your sector — from regulatory compliance to real-time operations. Each solution composes the same five engines, tuned to the regulatory shape and failure modes of your industry.
Six industries, one substrate.
- Fragmented student dataOne student, many systems. Academic, finance, and admin records reconciled without forcing a single-vendor SIS.
- Enrollment analytics lagLeadership sees last-term's numbers, not this-term's trends — because the pipeline runs overnight, not live.
- Accreditation evidence huntBAN-PT and international accreditors ask for cross-year, cross-faculty evidence that's scattered across spreadsheets.
- Document workflows by handTranscripts, surat keputusan, and faktur pajak still typed manually — when OCR + extraction can take this off the queue.
- Fragmented data across dinasOne citizen, many systems, zero unified view. Reconcile records across agencies without forcing migration.
- Sovereignty & classified workloadsAir-gap deployments, fully-auditable access, no foreign cloud dependency, no egress.
- Policy analytics that can't waitDecision-makers need current indicators, not six-month PDF reports.
- Inter-agency sharingPolicy-aware queries across agencies with PII redaction and full lineage.
- Fragmented clinical recordsUnify records across facilities without forcing a single-vendor EMR — governed, lineage-tracked, auditable.
- Clinical decision supportLatency-bound inference with full audit trail — not a black-box recommendation engine.
- Supply-chain traceabilityBatch and lot-level lineage from raw material to patient, provable end-to-end.
- Regulatory evidenceGenerate compliance reports automatically from the same substrate that serves operations.
- Transaction monitoring at scaleScore events in-stream with policy-aware filtering — keep false-positive rates defensible.
- Regulatory reporting backlogConsolidate feeds from core systems without weekend batch windows or hand-assembled spreadsheets.
- Customer 360 across silosOne customer, many systems. Unified profile with lineage for every field.
- Model governanceEvery deployed model has a provenance record — data, parameters, evaluations, approvals.
- Shop-floor to boardroom lagMES, WMS, ERP, and quality data fused without overnight batch windows.
- Demand forecasting across SKUsHierarchical forecast models that account for channel, promo, and seasonality.
- Yield & quality driftRoot-cause analysis from line-level telemetry in hours, not weeks.
- End-to-end traceabilityBatch, lot, and serial-level lineage from raw material to finished good.
- Legacy system sprawlERP, correspondence, portals, and databases connected without forcing any migration.
- AI without infrastructurePilot projects blocked because there's no unified, clean, governed foundation to build on.
- Vendor lock-in fatigueOpen formats and swappable layers — no proprietary storage format holding your data hostage.
- Institutional memory lossKnowledge lives in archives and folders; a base model trained on your corpus keeps it queryable.
From first meeting to production intelligence, in five moves.
Every vertical engagement follows the same cadence. No mystery, no creeping scope — milestones you can plan around.
Scope the shape
Workshops with your data, risk, and engineering leads to map sources, sinks, and regulatory shape.
Architect the stack
Solution blueprint, security review, procurement alignment, and a signed acceptance test plan.
Stand up the platform
On-premise install, network stitching, CI/CD, and secrets — done by our team alongside yours.
First production case
One use-case from data to decision — so your team has something to hand to the business early.
Scale the portfolio
Every new case reuses the substrate. Cost-per-case drops. Your team gets more sovereign, not more dependent.
Find your profile in the matrix.
Not every capability applies to every vertical — and that's fine. Use the map to see which are default-on for your industry.
Built on an open foundation.
Datahive composes the same open, industry-standard components the data community has converged on. Nothing proprietary. No vendor lock-in. Every layer swappable.
Want this shape, for your sector?
Walk us through your data architecture. We'll come back with a sector-specific blueprint — not a sales deck.