Top UiPath Development Companies in India

Ksolves has some of the clearest project-level UiPath evidence in this shortlist. Its published work covers invoice reconciliation in logistics and KPI generation in telecommunications. In addition, both cases show the workflow and the systems around the bot. They also show what UiPath handled after the trigger.

Logistics invoice reconciliation with UiPath

For a global logistics and freight-forwarding company, Ksolves automated invoice reconciliation before vendor payments. First, UiPath bots monitored a dedicated email inbox and downloaded invoice attachments. Next, OCR and structured templates extracted invoice data. Then, a second bot compared line items with delivery notes and checked fields such as shipment IDs, quantities, and dates.

In addition, verified invoices were posted into SAP through the UiPath connector. However, mismatches moved to human review instead of being posted blindly. In addition, the automation showed processed, pending, and blocked invoices. It sent exception alerts and timestamped bot activity for an audit trail. Ksolves reports an 80% reduction in invoice processing time and 90% invoice-to-document matching accuracy. These are vendor-reported results from the published case.

Telecom KPI generation with UiPath

Ksolves also publishes a telecom automation where raw network files are uploaded to SharePoint. Next, Apache NiFi detects the files and transfers them to a virtual machine. Then, UiPath performs the transformations and calculations needed to generate cluster and band level KPIs. Finally, the output is returned to SharePoint for the operations team.

In addition, the documented stack includes UiPath, Apache NiFi, Microsoft SharePoint, and a virtual machine processing environment. Ksolves reports that KPI generation fell from two to three hours to under ten minutes per cluster and band combination. It reports a 95% reduction in generation time. It also reports a 90% reduction in data errors. These are vendor-reported results.

Accelirate is headquartered in the United States, which makes it the geographic exception in this India-focused comparison. However, its UiPath credentials are strong enough to warrant inclusion. In addition, UiPath’s own newsroom identifies Accelirate as a Diamond level partner and UiPath Services Network member. Accelirate also publishes several detailed UiPath implementation cases.

TLF Graphics order entry and AP automation

Accelirate’s named TLF Graphics case is much more useful than a generic partner badge. For example, TLF Graphics needed to automate AP invoice processing, purchase-order entry, and work involving Label Traxx. However, Label Traxx lacked a native API. Therefore, Accelirate used UiPath Computer Vision to work with the application and connected the automation through UiPath tools including Orchestrator.

In addition, AI agents classified work such as AP invoice processing and PO entry. They then routed each task to the right process. Meanwhile, the design separated business, system, and credential exceptions so issues could reach the right internal team. Finally, critical failures had an escalation path, while reporting showed process status, exceptions, and bottlenecks in real time.

Accelirate reports an 89% reduction in order-entry time and a 70% improvement in manual-process accuracy. It also reports completing the order-entry automation in six to eight weeks. Accelirate says an earlier vendor had struggled with the work for about a year. These are vendor-reported results from Accelirate’s case study.

Among UiPath Development Companies in India, SunTec India stands out for publishing a substantial accounts-payable case rather than only a developer-hiring offer. For example, the client is an unnamed American Fortune 500 manufacturer and supplier of industrial components. In addition, SunTec describes a multi-bot framework that connects invoice capture, document understanding, ERP posting, exception handling, orchestration, and reporting.

How SunTec’s global invoice automation works

The case starts with invoices arriving through email, vendor portals, shared file servers, EDI, and physical-mail digitization. First, UiPath bots collect the documents, while document-understanding models extract vendor names, dates, line items, and amounts. Then, the automation validates that data against purchase orders and vendor records.

Next, business rules handle tax checks, currencies, approval thresholds, duplicate detection, and other exceptions. After that, validated invoices move into SAP, Oracle NetSuite, QuickBooks, or legacy accounting systems through APIs or secure screen automation. However, invoices that need judgment move into attended bot and human-review flows rather than failing silently.

Meanwhile, UiPath Orchestrator coordinates the bot estate. In addition, Power BI and UiPath Insights provide operational visibility, while timestamped logs support auditability. SunTec reports 93% faster invoice processing, 75% less manual effort, and a 99.95% accuracy rate. These are vendor-reported results.

Cloudesign is one of the UiPath Development Companies in India with a documented implementation model. However, its public proof is more service-led than case-led. The company says its Mumbai and Bengaluru team works across RPA design, advisory, pilot delivery, deployment, support, and governance. In addition, it identifies UiPath among its core RPA building blocks.

Published UiPath implementation model

Cloudesign’s RPA process begins with customer requirements and a business case. It then identifies automation opportunities, defines an RPA roadmap, and selects the appropriate tool. Then, the pilot stage covers scope, infrastructure, and RPA best practices. After that, the model moves into solution development, deployment, expansion to other business opportunities, and ongoing governance.

In addition, Cloudesign describes RPA support for existing programs and states that it delivers attended, unattended, and hybrid solutions. Also, its broader automation material combines UiPath with AI for workflows such as invoice processing and customer support. This gives buyers more implementation detail than a simple “hire a UiPath developer” offer.

However, Cloudesign’s public case-study library does not identify a named client case with UiPath explicitly listed as the delivery platform. Buyers therefore get detailed implementation material. However, named UiPath case visibility is weaker than with Ksolves, Accelirate, SunTec India, or Bacancy.

Nordia Infotech publishes enough implementation detail to show what its UiPath work is meant to cover. The company states that it has deployed both attended and unattended UiPath bots for individual departments and business units. In addition, it describes its UiPath Services Network relationship and a detailed SAP automation approach.

Nordia’s UiPath and SAP purchase order workflow

Nordia describes a purchase-order automation pattern that begins by identifying the event that should trigger a PO. Next, UiPath extracts data from the required systems and validates it before the information reaches SAP. Then, the workflow uses UiPath Studio and SAP BAPI activities to create and populate purchase orders.

In addition, Nordia documents exception handling for discrepancies, automated notifications and dashboards, and ongoing optimization of the workflow. Also, its broader implementation blueprint covers SAP selectors, BAPI-based integration, testing, staged deployment, performance monitoring, training, and maintenance. It also discusses CRM to ERP synchronization, finance automation, HR automation, Process Mining, and UiPath Automation Cloud.

However, the public material describes successful attended and unattended deployments without naming the client organizations. Nordia is therefore stronger on implementation depth and UiPath service credentials than on named case-study disclosure.

Bacancy publishes named UiPath case studies in recruitment and healthcare, so its evidence goes beyond a developer-hiring page. For example, the SkillConnect Solutions case shows end-to-end resume extraction and candidate shortlisting. In addition, a separate MediCal Solutions case shows UiPath in healthcare operations, including data movement, claims, compliance, and patient-facing workflows.

SkillConnect resume screening and placement automation

For SkillConnect Solutions, a Canadian HR organization, Bacancy built UiPath bots to extract candidate information from multiple job portals. First, the automation captured fields such as name, experience, skills, and contact information, validated the data, and stored it centrally. Then, it used keyword mapping to compare resumes with job descriptions and shortlist candidates by skills, experience, and location.

Next, Outlook and Google Cloud integrations handled communication after candidates were shortlisted or placed. Meanwhile, UiPath synchronized candidate information across job boards, ATS platforms, and internal CRM systems. The published stack also includes Python, Excel, SQL Server, REST APIs, and TensorFlow. As a result, Bacancy reports a 75% reduction in manual review time. This is a vendor-reported result.

MediCal Solutions healthcare automation

Meanwhile, Bacancy’s MediCal Solutions case uses UiPath and Python for a California healthcare provider. The documented work includes automated extraction, validation, and transfer of patient and insurance data between systems. In addition, it covers claims workflows involving eligibility verification, coding, billing, and claim submission.

In addition, the automation supports compliance activities such as reporting, audits, and documentation. Finally, patient-facing processes include appointment scheduling, billing inquiries, and insurance verification. This gives the case broader operational depth than a single isolated bot.