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Rlogical Techsoft Pvt. Ltd.

IN Website 51-200 employees

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$25 - $49/hr
4.8

22 reviews

External Reviews

Technologies

PythonFastAPIDockerKubernetesTensorFlowPyTorchScikit-LearnMLflowApache SparkPandasNumPyOpenCVOpenAIAzure OpenAILangChainChromaVector DBReact.jsAngularVue.jsNext.jsNode.jsExpressNestJSFlutterReact Native.Net CoreC#Azure CloudAWSGoogle CloudMongoDBMySQLPostgreSQLRedisLaravelWordPressMagentoWooCommerceShopifyFigmaSketchAdobe XDTerraformJenkinsGitlabGrafana

Services

AI DevelopmentMachine Learning & MLOpsData Science & AnalyticsComputer Vision & Audio AIGenerative AI & LLMsWeb App DevelopmentMobile App DevelopmentCustom Software DevelopmentWebsite MaintenancePoS DevelopmentBlockchain DevelopmentIoT App & SoftwareUI/UX DesignDedicated Developer Hiring

Notable Clients

Broadcast Marketing CorporationDerema GroupSparks Business WorksARCCognitionTicketPickUpMusikaaCabsOn

Rlogical Techsoft is a software development company based in India that builds web applications, mobile apps, AI/ML systems, and custom software for clients worldwide. The company works with over 500 clients across North America, Europe, Asia, Australia, the Middle East, and other regions. Founded by Jatin Panchal (and his brother), Rlogical has maintained long-term relationships with clients—several testimonials reference 8–9 years of partnership. The company positions itself around three core areas: AI-driven engineering, scalable software development, and intelligent applications.

Services and capabilities

Rlogical's service menu spans web development, mobile app development (iOS, Android, cross-platform), AI/ML solutions, custom software, website maintenance, point-of-sale systems, blockchain, IoT applications, and UI/UX design. In AI specifically, they work on custom machine learning models, predictive analytics, NLP solutions, computer vision, generative AI using LLMs, and data analytics. Their tech stack is broad: Python, FastAPI, TensorFlow, PyTorch, LangChain, and vector databases for AI; React, Angular, Vue.js, and Next.js for front-end; Node.js, Express, and NestJS for back-end; Flutter, React Native, and native iOS/Android for mobile; Azure, AWS, and Google Cloud for infrastructure; and tools like Docker, Kubernetes, and Terraform for DevOps.

Engagement options include fixed-cost projects with detailed scoping upfront, dedicated team models for ongoing product development, and time-and-material billing for flexible workloads. Their fixed-cost model involves discovery meetings, requirement gathering, technical consultation with subject matter experts, iterative scope refinement, and formal project proposals before contract execution. The dedicated team model includes resource selection, interviews with the client, and SCRUM-based execution. For T&M engagements, they define an approach, select team members (with 3–8+ years of experience), and provide progress tracking via Jira, Basecamp, Trello, or Git/Bitbucket.

Industries served include fintech and payments, e-commerce and retail, hospitality, automotive and transportation, logistics and fleet management, home services, education, and healthcare. They also highlight capabilities around data science, analytics, and real-world MLOps deployment.

Notable work

Client testimonials name specific partnerships: Jeff Wolfman from Broadcast Marketing Corporation credits Rlogical with building new websites and plans expansion in 2025; Joe Carney from Derema Group reports 9 years of collaboration on mobile apps; Bob Armbrister (Sparks Business Works) has partnered for 8–9 years on multiple projects; Wayne Moffett (ARC leader) notes satisfaction with the technology team after several years of engagement. Dr. Ganesh mentions Rlogical delivered software that transformed operations for one of his clients. Mike reports 6+ years of PHP, MySQL, and full-stack work. One unnamed client notes nearly 4 years of engagement with access to resources across engineering, design, and project management disciplines.

Case studies are listed by title (Predictive Ticket Booking System, Green Energy Saver, TicketPickUp, Musikaa, CabsOn) but without detailed outcome metrics in the source material. The company claims expertise in building production-ready AI and machine learning at scale, with a focus on MLOps practices for continuous monitoring and versioning.

How they work

Rlogical operates through three primary engagement models. For fixed-cost projects, the workflow includes an initial discovery call, systematic requirement gathering, technical roadmap consultation with SMEs, a detailed scope document with functional and technical breakdowns, iterative refinement based on feedback, a formal project proposal with costs and milestones, contract signing, and project onboarding with a dedicated technical project manager. For dedicated teams, they conduct an in-depth requirements analysis, identify and present candidate developers for your interview and selection, finalize contracts, and execute using SCRUM methodology with regular updates. Time-and-material engagements begin with a project needs discussion, definition of the optimal approach, team selection from professionals with varying experience levels, a team discussion or discovery call, contract finalization and onboarding, and structured task allocation with regular progress reports.

The company positions itself as available for consultation within 24 hours and offers a free technical consultation covering ideal tech stack, architecture, timeline, and budget estimation. They serve as a Microsoft Team reseller and can be reached via sales lines in the US (+1 609 318-6145) and India (+91 7490 802 036).

Team and credentials

Rlogical is led by Jatin Panchal (and his brother). The source does not disclose exact team size, but client testimonials suggest a sizable operation with multiple disciplines (engineering, design, project management, support). No certifications (ISO 27001, SOC 2, GDPR, HIPAA compliance) are mentioned in the source material. The company does not report G2 or Clutch ratings. They work across multiple time zones and languages to service a global client base.

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Case Studies

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Client Reviews

Reviews from verified clients

4.8

22 third-party reviews

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Client reviews will appear here once they are submitted and verified.

Frequently Asked Questions

What does Rlogical specialize in?
Rlogical builds web applications, mobile apps, AI/ML systems, custom software, blockchain solutions, and IoT applications. They also offer UI/UX design, website maintenance, and point-of-sale systems. Their focus areas include AI-driven engineering, scalable software, and intelligent applications for enterprises, SMEs, and startups.
Where is Rlogical based?
Rlogical Techsoft is based in India. They serve clients globally across North America, Europe, Asia, Australia, the Middle East, and other regions. Sales and marketing contacts are available in both the US and India.
What engagement models does Rlogical offer?
They offer three primary models: fixed-cost projects for clearly defined scope and timelines; dedicated team model for continuous product development and scaling; and time-and-material for flexible, bucket-based engagements. All include initial discovery, requirement gathering, technical consultation, and iterative execution.
What technologies does Rlogical work with?
They work with Python, TensorFlow, PyTorch, OpenAI/Azure OpenAI, LangChain for AI/ML; React, Angular, Vue.js, Next.js for front-end; Node.js, Express, NestJS for back-end; Flutter and React Native for mobile; AWS, Azure, Google Cloud for infrastructure; Docker, Kubernetes, Terraform for DevOps; and tools like PostgreSQL, MongoDB, Redis for databases.
Who are some of Rlogical's clients?
Named clients include Broadcast Marketing Corporation, Derema Group, Sparks Business Works, Cognition, TicketPickUp, and Musikaa. Client testimonials reference partnerships lasting 4 to 9 years, spanning web, mobile, and digital transformation projects.
How long does Rlogical take to respond to inquiries?
The company states it will reach out within 24 hours of inquiry. They offer free technical consultations covering tech stack recommendations, architecture, timeline, and budget estimates.

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