High-Tech
Unolabs engineers AI superfactory infrastructure for high-tech platforms. We build the high-density data foundations to manage high-frequency telemetry, stateful reasoning loops, and massive model operations at global scale.
For hyper-scale software platforms, AI infrastructure providers, and technology operations groups.
Engineering specialised data zones and autonomous processing layers for High-Tech leaders.
Your telemetry bill grows faster than your ARR
Every platform team knows the moment: usage-based billing goes live and finance discovers the metering pipeline drops events under load — and every dropped event is either lost revenue or a customer credit. Meanwhile telemetry unit economics quietly invert, with per-event ingest and storage costs outpacing the margin the features earn, and multi-tenant isolation is enforced in application code instead of the data layer. We engineer metering-grade pipelines where the invoice and the event stream reconcile.
Architectural Bottlenecks Hindering High-Tech Transformation
Product Telemetry Fragmentation: High-frequency telemetry, customer health, and billing meters are disconnected, so usage-based invoices cannot be reconciled against raw events.
Operational Complexity: Teams cannot trace the relationship between product incidents, net revenue retention, and architectural technical debt in a single view.
Model Orchestration Gaps: AI features lack the high-fidelity feature pipelines, governed semantic definitions, and hard multi-tenant isolation required for global-scale model operations.
Relevant patterns from industry work
Each pattern represents a validated technical outcome delivered for global enterprise clients.
Synthetic Data Factory
Built an automated synthetic data generation pipeline for a high-tech hardware leader, providing high-fidelity training sets for AI models without compromising proprietary IP.
Autonomous Agent Orchestration
Built a multi-agent framework for a high-tech platform, automating complex data remediation and task splitting through stateful reasoning loops.
AI Superfactory Infrastructure
Designed the high-density datplatforms for AI compute estates, where telemetry volume and model checkpointing are costed at architecture time rather than discovered in the bill.
Read Technical ProofHigh-Tech Product Intelligence Flow
Telemetry, CRM, support, billing, marketing
Usage events, tickets, subscriptions, campaigns, account records, and product data enter from product and go-to-market systems.
Customer and product data products
Data is unified around account, user, product, feature, contract, issue, and journey entities.
Health, growth, AI features
Features power churn prediction, recommendations, product analytics, support intelligence, and RAG context.
Product, CS, sales, support, AI
Teams receive dashboards, alerts, agents, APIs, and product intelligence workflows.
Expert insights for High-Tech
Enterprise migration and production operating model stories.
Industry Transformation Outcomes
Metering-Grade Telemetry
Predictive Growth Intelligence
Governed AI Superfactory Foundation
Engineering High-Tech Ecosystems
How our 2026 service catalogue integrates to solve high-growth industry challenges.
Real-Time Streaming & Event Architecture
Billable event integrity
Engineer the metering path for ordered replay, deduplication and late-arrival rules, so an invoice line can be traced back to its events.
“A customer disputes an invoice and finance cannot tie the lines back to the event stream. Each gap is either revenue nobody billed or a credit already owed.”
Revenue assurance trace
One billing period reconciled end to end: every invoice line traced to the events behind it, with drops, duplicates and late arrivals counted and each given a written handling rule.
Exactly-once stops at the meter. A retried call and a genuine second call look identical downstream unless the emitting service stamps idempotency at source.
Cloud Data Infrastructure & Landing Zones
Tenant isolation boundary
Push the tenant boundary into storage, identity and query paths, so the control a security review tests is not a line of application code.
“A large customer's security questionnaire asks where tenant isolation is enforced; the honest answer is application code, one omitted predicate from a disclosable breach.”
Isolation evidence pack
Where the boundary holds at each layer — storage, identity, network, query — the test that proves each one, and the blast radius if it were bypassed: an answer to any customer security review.
Isolation kept in application code fails silently, and is usually found by the customer who reads another customer's row — a disclosure, not a defect.
Agentic AI & Autonomous Operations
Agent authority limits
Build agents that assemble the evidence and recommend, leaving price, entitlement and credit calls with a named person and a written record.
“The pilot demonstrates well and then stops: nobody will sign off an agent changing a customer's price or entitlement, and what it may decide alone was never written down.”
Autonomy level matrix
Each workflow placed at answer, recommend, or execute under policy, with the approval required, the tools the agent may call and the record written for every decision — a stated risk position.
Approval is only a control if the approver sees what the agent saw; a recommendation that arrives without its evidence trail is signed off on trust alone.
Data Engineering & Integration
Tenant key propagation
Carry the tenant key through every hop of the feature and context pipeline, so no product signal crosses an account boundary downstream.
Enterprise Data Platform Engineering
Telemetry unit economics
Set retention, rollup and downsampling policy before volume sets it, and attribute ingest and storage cost to the feature that earns it.
Enterprise Decision Intelligence & Operational Analytics
Metered account health
Model expansion and churn from metered consumption rather than seat counts, so account health reflects what customers actually use.
DevOps & SRE
Error budgets on meters
Give the metering path its own SLO and release gate, so a deploy that doubles event volume fails a check rather than a margin.
Start Your High-Tech Modernisation
We'll review your current architecture, identify immediate bottlenecks, and draft a production-grade roadmap for your autonomous transformation.
"Bring one invoice a customer disputed. We'll reconcile it against the raw events."
