Real impact, real results

Challenge

The client's analytics ran on a fragile patchwork of cron jobs and manual CSV exports from a monolithic PostgreSQL database. Dashboards were 24-48 hours stale, and the data team spent 60%+ of their time firefighting pipeline failures instead of delivering insights.

Solution

TiHub designed and built a modern data platform using medallion architecture (bronze/silver/gold layers). We migrated 15 data sources into Snowflake, implemented 40+ dbt models with full data quality testing via Great Expectations, and orchestrated everything through Apache Airflow.

Results

• Dashboard latency reduced from 24-48 hours to under 15 minutes
• Pipeline failure rate dropped from ~12 incidents/month to fewer than 2
• Data team reallocated 70% of firefighting time to strategic analytics
• Platform supported Series C due diligence without additional engineering

Challenge

The QA team manually tested their web application across 5 browsers and 3 screen sizes before every release, creating a 4-day regression cycle that bottlenecked bi-weekly deployments. Traditional Selenium-based automation broke constantly due to frequent UI changes.

Solution

TiHub built a custom AI agent using our thub_agents framework combining YOLO-based element detection with LLM-driven test orchestration. The agent visually identifies UI elements without relying on DOM selectors, making it resilient to UI refactors. We trained a custom YOLO v11 model and integrated it with LangChain for test planning.

Results

• Regression testing cycle reduced from 4 days to 6 hours (87% reduction)
• Release frequency increased from bi-weekly to weekly
• QA team shifted from manual execution to test design and edge case analysis
• Estimated annual savings of ~$180K in QA labor costs

Challenge

After closing a $30M Series B, the client needed to scale their engineering team rapidly to build payment processing and compliance reporting. Internal hiring was taking 45+ days per role, and they were losing candidates to larger competitors.

Solution

TiHub placed a team of 4 engineers -- 2 senior backend (Python/FastAPI), 1 data engineer (Airflow/dbt), and 1 full-stack (React/TypeScript) -- led by a TiHub tech lead. Engineers participated in client agile ceremonies, used their tooling, and followed their coding standards.

Results

• 4 engineers onboarded and contributing code within 3 weeks
• Payment processing MVP shipped 2 weeks ahead of schedule
• Client retained 3 of 4 engineers for a second 6-month engagement
• 35% lower fully-loaded cost compared to equivalent internal hires