Contact Cuedo Analytics Private Limited
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Cuedo Analytics is a data engineering and agentic AI firm. We build and streamline data platforms for large and mid-market enterprises. We have delivered close to 20 data platform implementations across various locations
Our work typically covers:
- Data platform build - Implementation of cost-effective and high-performance lakehouses or warehouses.
- Platform migration - For example, BigQuery to Redshift, Databricks to an open lakehouse or even legacy warehouse to lakehouse depending on client requirements.
- ETL pipelines - Real-time and batch ingestion from diverse source systems into a consolidated warehouse.
- Domain-driven data modelling - Transactional models aren't built for analytics. We design models around your key business entities and the metrics that actually matter, so insights are reliable and easy to get.
- AI-ready Platform - Ensuring the data platform covers both analysts and business teams and supports AI-workflows with the right context and governance in place.
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Min project size
$5,000+
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Hourly rate
$25 - $49 / hr
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Employees
10 - 49
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Year founded
Founded 2021
Service Lines
- AI Agents
- 20%
- Generative AI
- 20%
- AI Consulting
- 10%
No Focus Areas have been added yet…
Industries
- Financial services
- 40%
- Information technology
- 20%
- eCommerce
- 15%
- Education
- 10%
- Supply Chain, Logistics, and Transport
- 10%
- Hospitality & leisure
- 5%
Clients
No Clients have been added yet…
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Our Story
Cuedo Analytics was founded on a simple conviction: analytics and AI are only as good as the platform beneath them. We build the data foundation first - lakehouses, real-time pipelines and governed data models - then the analytics, machine learning and agentic systems that run on it. The same engineers who design a platform stay with it into production, so our clients get a team that owns the outcome rather than a handover document.
What Sets Us Apart
Modelling, not just replication
Copying transactional tables into a warehouse is the easy half. We shape the model at the warehouse or lake around the analytics that will actually run on it, so new workloads are quick to build and one metric means one thing across the business.The same team builds it and runs it
The engineers who design your platform stay with it into production and daily operation. No handover document, no knowledge lost between build and run.Cost engineered in, not bolted on
Right-sized clusters, tiered storage and per-query cost visibility are part of the design. One lakehouse migration cut a 40,000 dollar monthly compute bill by more than half, with zero downtime at cutover.
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