Accelerate Your Data Strategy

We help organisations move from siloed legacy data to a modern lakehouse + AI delivery engine that unlocks faster insight, governed reuse and measurable ROI.

Modernise Now See How

Snowflake

Elastic lakehouse & governance

Databricks

Delta + ML runtime & feature store

Dataiku

Collaborative AI industrialisation

Palantir / Salesforce

Operational + customer data activation

From Fragmented Data To Unified Intelligence

We replace brittle, manual, slow reporting chains with an automated, governed and AI-ready lakehouse delivery model.

Before

• Siloed marts & duplicated ETL jobs
• 10–30 day cycle to land new data source
• Spreadsheets as integration layer
• Shadow ML experiments – no promotion path
• Cost overruns & unclear data ownership

After

• Lakehouse (Snowflake / Delta) single canonical layer
• New source onboarding in days not weeks
• Feature store + semantic layer powering BI & ML
• Governed model registry & CI/CD deploy pipelines
• Transparent FinOps & data product ownership

Modern Data & AI Flow

[Sources]
  ERP | CRM | IoT | Web | 3rd Party
      │
      ├─ Ingestion (Streaming + Batch / CDC)
      │
      ├─ Raw Bronze / Landing
      │
      ├─ Curated Silver (Quality + Harmonisation)
      │
      ├─ Gold Semantic / Data Products
      │        ├─ BI Dashboards (Looker / Tableau / Power BI)
      │        ├─ Feature Store (Databricks / Feast / Dataiku)
      │        └─ Reverse ETL & Activation (CRM / Marketing / Ops)
      │
      └─ ML Lifecycle (Experiment → Registry → Deploy → Monitor)

Designed for reuse, observability and rapid experimentation.

Platform Integration & AI Industrialisation

We blend best-in-class platforms based on your maturity and goals. You are not locked into a single vendor story — we orchestrate a composable stack that evolves.

Lakehouse (Snowflake • Databricks)

Elastic scaling, Delta / Iceberg tables, unified batch + streaming, governance & fine‑grained access, cost visibility and performance tuning for high-concurrency analytics & ML.

AI Acceleration (Dataiku • Databricks ML)

Collaborative visual + code workflows, experiment tracking, feature engineering, model registry, automated tests and monitoring pipelines for safe continuous deployment.

Operational & Customer Platforms (Palantir • Salesforce)

Embed intelligence into operations & customer journeys: decision frameworks, territory optimisation, churn & LTV modelling, guided actions surfaced in CRM and operational consoles.

And More

Azure / AWS / GCP native services, Kafka ecosystems, reverse ETL (Hightouch / Census), observability stacks, knowledge graphs… We plug the right components at the right time.

Indicative Value Realisation (first 6–12 months)

30–70%

Faster new data onboarding

20–40%

Analytics cycle time reduction

5–15%

Infra cost optimisation

2–4x

Model deployment velocity

Quick‑Win Sprint Blueprint

• Week 1: Discovery & platform / data maturity scan
• Weeks 2–3: Lakehouse landing zone + initial ingestion
• Weeks 3–4: First curated semantic model + BI / feature view
• Weeks 5–6: Pilot ML use case (forecast, anomaly or scoring)
• Exit: ROI snapshot + scale roadmap (governance & ops)

Why Teams Choose AccelAIrate

We don't just architect platforms — we operationalise continuous data value creation.

🚀

Lakehouse Acceleration

Rapid Snowflake / Delta adoption with reusable patterns and FinOps governance.

🤖

AI Industrialisation

Dataiku & Databricks workflows: experiment → feature → model → monitored service.

🧩

Composable Platforms

Palantir, Salesforce & reverse ETL integrated for closed-loop activation.

🔐

Governance & Trust

Lineage, quality SLAs & access policies embedded as code and monitored.

Ready To Modernise Your Data & AI Foundation?

Let's design a pragmatic, ROI‑focused roadmap: deliver a measurable win in weeks — scale sustainably over quarters.

Start a Discovery Call Explore Architecture