Customer story · Creator economy · Platform · Data
100,000+ creators. Global brands. One platform built to survive launch day.
KOMI needed infrastructure that could handle traffic spikes from creators with 10M+ followers, unified analytics brands actually trust, and AI-powered discovery—not manual spreadsheets. Intellixa Labs delivered a twelve-month program: microservices on AWS, a Snowflake data platform, compliance governance, and 99.99% stability when the world's biggest names go live.
Business and engineering outcomes Intellixa delivered
99.99%
platform stability during high-profile creator launches and campaign spikes
6×
faster creator discovery via AI-powered search, embeddings, and ranking APIs
40%
reduction in cloud infrastructure costs after EKS rightsizing and autoscaling
3ms
median matching latency on the creator discovery API at production load
Platform capabilities
Event-Driven Platform Scale
Microservices on EKS, Kafka backbone, and autoscaling policies tuned for unpredictable bursts when celebrity creators with massive followings go live.
Unified Analytics Layer
Snowflake warehouse, dbt transformations, and executive ROI dashboards—one trusted view for brands instead of siloed reporting pipelines.
AI Creator Discovery
Embedding search and ranking APIs replaced manual matching bottlenecks as the catalog grew past six figures—ops teams ship campaigns faster.
Four critical problems blocking KOMI's growth
KOMI operates where celebrity creators and global brands meet billions of fan touchpoints—but four blockers threatened enterprise deals. Infrastructure fragility meant launch-day traffic from 10M+ follower creators could overwhelm single points of failure. Fragmented analytics across siloed systems made unified ROI reporting impossible for brand partners. Manual creator discovery slowed campaign kickoff as the catalog passed 100,000 creators. And inconsistent GDPR/CCPA enforcement across services increased compliance exposure as enterprise contracts expanded.
How Intellixa Labs handled it end-to-end
Intellixa partnered with KOMI's engineering leadership across twelve months: architecture assessment and capacity modeling, microservices decomposition with an event-driven Kafka backbone on AWS EKS, a unified Snowflake analytics platform with dbt and AI-powered discovery, GDPR/CCPA governance with OneTrust integration, and performance engineering with structured handover. The result—99.99% launch stability, 6× faster discovery, 40% lower cloud costs, and sub-5ms matching latency—gave KOMI infrastructure aligned to the ambitions of their roster, not just patches on what was broken.
Intellixa did not ship point fixes—we delivered a phased platform program: assess → decompose → unify data → govern compliance → optimize and hand over.
Platform path
One campaign launch—from API to analytics without silos
- 1Campaign APIEKS · autoscale
- 2KafkaEvent backbone
- 3SnowflakeUnified analytics
- 4Discovery APIAI matching · 3ms
Stack in production
Products & services engineered
Creator Economy / MarTechTechnical architecture blueprint
Target-state diagrams, service boundaries, and migration runbooks
Unified data platform
Snowflake warehouse, dbt models, and executive ROI dashboards
AI discovery engine
Embedding search, ranking API, and ops tooling for campaign matching
Compliance framework
Data classification, retention policies, and GDPR/CCPA controls
CI/CD & observability
Terraform pipelines, Datadog SLOs, and incident response playbooks
Team enablement
Internal training program and documentation for platform ownership
Executive summary
KOMI is a creator economy platform used by celebrities—from Kim Kardashian to The Rock—and global brands including Pizza Hut and Airbnb to run influencer campaigns at scale. The platform orchestrates fan touchpoints, campaign workflows, and brand partnerships across billions of interactions.
Intellixa Labs partnered as the engineering studio behind a twelve-month platform transformation: hardening infrastructure for 100,000+ creators, unifying analytics for enterprise brands, shipping AI-powered discovery, and establishing compliance governance that scales with contract growth.
Background—and how Intellixa solved it
KOMI's scale demanded more than incremental fixes. Brand partners needed one analytics layer they could trust. Ops teams needed discovery that kept pace with a six-figure creator catalog. Engineering needed systems that survive the moment a high-profile creator goes live.
Intellixa ran a phased delivery program across twelve months—assessment, infrastructure, data platform, compliance, and optimization—so each milestone shipped production value while de-risking the next.
- Client: KOMI Ltd. · Industry: Creator Economy / MarTech · Timeframe: 12 months
- Services: Platform architecture, data engineering, DevOps
- Outcome: 99.99% stability, 6× discovery speed, 40% cost reduction, 3ms API latency
The four problems we addressed
Infrastructure fragility: Unpredictable traffic bursts from creators with 10M+ followers exposed single points of failure and manual scaling playbooks that could not keep pace with launch-day demand.
Fragmented analytics: Siloed data stores and bespoke reporting pipelines made unified ROI reporting impossible—brand partners could not see campaign performance in one trusted view.
Slow creator discovery: Manual search and spreadsheet-driven matching created bottlenecks as the creator catalog grew, delaying campaign kickoff and leaving revenue on the table.
Compliance exposure: Data residency, consent, and privacy frameworks (GDPR, CCPA) were inconsistently enforced across services—increasing audit risk as enterprise brands expanded contracts.
A phased delivery across twelve months
Phase 1 — Assessment (Months 1–2): Architecture audit, capacity modeling, and technical strategy aligned to 100K+ creator scale and enterprise brand SLAs.
Phase 2 — Infrastructure (Months 3–6): Microservices decomposition, event-driven backbone on Kafka, and EKS workloads with autoscaling tuned for creator launch spikes.
Phase 3 — Data platform (Months 7–9): Unified analytics in Snowflake, dbt transformations, and an AI-powered discovery engine to replace manual creator matching.
Phase 4 — Compliance & governance (Months 10–11): GDPR/CCPA data governance framework, consent flows, and OneTrust integration across ingestion and reporting paths.
Phase 5 — Optimization (Months 11–12): Performance engineering, AWS cost optimization, observability hardening, and structured handover to KOMI's internal platform team.
Measurable outcomes, 90 days post-launch
99.99% platform stability during high-profile creator launches—no more firefighting when celebrity campaigns drive viral traffic.
6× faster creator discovery via AI-powered search and ranking—ops teams match campaigns to creators in minutes, not days.
40% reduction in cloud infrastructure costs after rightsizing, autoscaling policies, and workload placement on EKS.
3ms median matching latency on the creator discovery API—discovery stays fast at catalog scale.
- "The team didn't just fix what was broken — they gave us infrastructure that can scale to the ambitions we actually have." — CTO, KOMI Ltd.
Scope & deliverables
Intellixa handed KOMI a complete platform program—not slide decks. Deliverables included architecture blueprints, a production Snowflake analytics layer, an AI discovery engine with ops tooling, a compliance framework for GDPR/CCPA, CI/CD and Datadog observability, and team enablement so internal engineers could own the stack long-term.
Scaling a platform for KOMI Ltd.? Intellixa Labs ships production architecture, data platforms, and AI systems with the same discipline we brought to KOMI—measurable outcomes and SEO-ready launch quality.