Pitangent Analytics and Technology Solutions Pvt Ltd

Pitangent Analytics and Technology Solutions Pvt Ltd is a Kolkata-based software and data services provider focused on custom engineering and analytics. Its website positions the firm across full-cycle product development and data-driven solutions, with public directory listings indicating a history of client work across multiple geographies. For buyers, PiTangent presents as a small to mid-sized partner option with breadth across web, mobile and data, best suited to projects that benefit from blended engineering and analytics capabilities and cost-effective India-based delivery.

What they deliver and focus on 📌

• Custom software development for web and mobile apps, including product discovery, MVP and UI/UX, per company site
• Data and analytics offerings spanning BI, data engineering and applied AI or ML use cases
• Cloud, DevOps and QA services to support delivery and operations lifecycles
• Engagement models that include dedicated teams and project-based work
• Sector exposure referenced on site content and case material, including ecommerce, healthcare, fintech and logistics

Notable positives and buyer-relevant strengths ✅

• Combined build plus analytics proposition: engineering paired with BI or ML can reduce vendor handoffs for data-centric products
• Technology scope that covers modern web and mobile stacks with cloud enablement, allowing end-to-end delivery from MVP to scale
• India-based delivery center in Kolkata that can offer cost-efficiency and partial time-zone overlap for Europe and North America
• Presence on industry directories with client testimonials provides some external validation of delivery track record

Caveats, risks and due diligence checkpoints ⚠️

• Brand visibility is moderate and public third-party review volume appears limited; prospective buyers should request recent references and code samples
• Enterprise-scale credentials and regulated-industry compliance claims are not extensively detailed in public materials; verify security, data governance and certifications during evaluation
• Ensure clarity on IP ownership, sprint cadences, SLAs and handover documentation to mitigate vendor lock-in
• Validate team composition and seniority for critical roles such as solution architecture, data engineering and DevOps, as delivery quality often hinges on named talent

Practical tips for selection

• Ask for two recent case studies with measurable outcomes and the resumes of the proposed lead developer, data engineer and QA
• Run a 1 to 2 week paid discovery or POC to test collaboration, code quality and velocity
• Confirm cloud cost management practices, test coverage targets and observability standards early in the SOW

Citations:

pitangent.com/pitangent.com/
www.g2.com/products/pitangent/reviews