Data Analytics & AI

Turn data into decisions — and decisions into revenue.

We design and build end-to-end data stacks: ingestion, transformation, ML modelling, and BI visualisation. From a startup's first dashboard to an enterprise lakehouse serving 100M events/day.

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Data analytics dashboard
0%
Avg. fraud/churn reduction
0×
Faster executive decisions
0M+
Events/day processed
0
Weeks to first ML model
Core capabilities

From raw data to actionable intelligence.

BI dashboards

BI & dashboarding

Looker, Power BI, Tableau, and Metabase implementations with live data refresh, role-based access, and executive-ready visualisations.

Data lake

Data lake & warehouse

Snowflake, BigQuery, Databricks, and AWS Redshift implementations — unified data models, ELT pipelines, and governance from day one.

Machine learning

ML & predictive analytics

Fraud detection, churn prediction, demand forecasting, recommendation engines, and anomaly detection — trained, deployed, and monitored in production.

LLM AI

LLM & AI integration

RAG pipelines, fine-tuned LLMs, and agentic AI workflows integrated into your product or operations using GPT-4o, Claude, Gemini, and Llama.

Real-time streaming

Real-time streaming

Apache Kafka, Kinesis, and Flink-based streaming architectures for millisecond-latency fraud alerts, IoT analytics, and live operational dashboards.

Data governance

Data governance & quality

Data catalogues, lineage tracking, PII masking, data quality monitoring, and GDPR-ready retention policies that make your data trustworthy.

FAQ

Data Analytics & AI questions answered.

Most clients have a working MVP model (evaluated and baseline-benchmarked) within 6–8 weeks. A production-ready, monitored, and retrained model typically takes 10–14 weeks depending on data quality and infrastructure readiness.
We're platform-agnostic. For most mid-market clients we recommend Snowflake or BigQuery for simplicity and serverless scaling. For enterprises with existing AWS investments, Redshift + Glue makes sense. Databricks is our choice for ML-heavy workloads. We'll model cost and fit before recommending.
Yes. Our AI practice integrates GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, or open-source Llama 3 via API into existing applications. We build RAG pipelines grounded on your proprietary data, set up guardrails, and monitor hallucination rates and latency in production.
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