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Radixweb

AI Consulting Strategy

Radixweb designs and modernizes AI-ready enterprise software platforms across FinTech, HealthTech, HRTech, and eight other industries.

About

Radixweb is a custom software engineering company with over 25 years of experience building, modernizing, and evolving complex digital systems for enterprises. Trusted by 3,000+ businesses across 30+ industries, they design scalable software platforms and embed AI capabilities — including generative AI, LLMs, and AI agent workflows — as foundational layers within enterprise systems to improve automation, decision-making, and operational performance.

Headquartered in Frisco, TX with a delivery center in Ahmedabad, India, Radixweb operates a team of 650+ tech and engineering professionals. Their industry focus spans FinTech, HealthTech, HRTech, InsurTech, Retail & eCommerce, Cleantech, EdTech, and Travel & Hospitality, with clients across North America, Europe, and the Middle East. With 5,500+ successful projects for 4,200+ clients across 25 countries and a 4.9 quality rating, they are recognized as a three-time Clutch chart-topper and one of the Top 100 Global Software Development Companies.

What They Do

Custom Software Engineering

  • Designs and builds tailored software platforms aligned with business goals, built to scale and support long-term system growth

  • Modernizes legacy systems and continuously evolves existing software for improved performance and future readiness

AI-Enabled System Intelligence

  • Embeds AI capabilities — including generative AI, LLMs, and domain-specific language models — into enterprise software platforms

  • Builds AI agent workflows executing autonomous, multi-step enterprise processes

  • Designs scalable AI system architectures aligned with data strategy

  • Implements RAG (Retrieval-Augmented Generation) pipelines, demonstrated in a legal document search system achieving 97% query interpretation accuracy on Azure

Data Foundations & Engineering

  • Builds robust data pipelines and architectures supporting analytics, system reliability, and AI-driven capabilities at scale

  • Delivers machine learning, data analytics, and business intelligence integrations

Cloud-Native Delivery & Operations

  • Builds and operates cloud-native systems on AWS, Azure, and Google Cloud with scalable infrastructure and automation

  • Executes cloud migrations and contact center modernization, including Azure Digital Contact Centre Platform deployments

Low-Code & No-Code Acceleration

  • Accelerates delivery using low-code platforms including Microsoft Power Platform without compromising core system architecture

DevOps & DevSecOps

  • Implements CI/CD pipelines, automated security checks, and DevSecOps practices to streamline deployments and maintain SaaS scalability

Services & Tech Stack

Services

  • Custom AI App Building
  • RAG Pipeline Development
  • Autonomous AI Agents
  • AI Workflow Automation
  • Document Processing Automation

Tech Stack

  • Azure OpenAI Service
  • AWS Bedrock
  • Google Vertex AI
  • LangChain
  • pgvector

Is This a Fit?

Best For

Mid-market and enterprise product teams in FinTech, HealthTech, or HRTech seeking a long-term engineering partner to embed AI capabilities, modernize legacy systems, or build scalable custom software platforms.

Not a Fit For

Early-stage startups needing pure AI strategy or prompt engineering consulting without accompanying software development, or companies seeking AI-only agencies without broader engineering scope.

Ideal Client

CTO, VP of Engineering, or Head of Product at a mid-market or enterprise company in FinTech, HealthTech, or HRTech looking to modernize systems, embed AI workflows, or build scalable SaaS platforms with a reliable long-term engineering partner.

Track Record

Radixweb has 650+ tech and engineering professionals, 25+ years in operation, 5,500+ completed projects across 4,200+ clients in 25 countries, and maintains a 4.9 Clutch rating across 51 reviews.

Common Outcomes

  • RAG-powered legal document search system achieved 97% query interpretation accuracy and handled 500+ concurrent queries on Azure
  • MVP delivered in 55 days with 80%+ positive user experience, securing 2x investor funding
  • Contact center modernization saved 4+ hours per case and managed 2M+ interactions after Azure migration
  • DevSecOps implementation reduced SaaS build bugs by 95% with less than 1% system downtime

Use Cases

Automated document processingWorkflow process automationInternal knowledge search

Case Studies

AI-Powered Legal Document Search System Built with RAG

AI-Powered Legal Document Search System Built with RAG

Legal

Challenge

The manual process of analyzing documents and finding answers was time-intensive and demanded high resource capacity.

Solution

A Retrieval-Augmented Generation system hosted on Azure cloud processes high-volume legal queries and surfaces relevant answers.

MVP Development for Investor Buy-in and Product Scoping

MVP Development for Investor Buy-in and Product Scoping

Automotive

Challenge

A startup needed rapid MVP delivery, scope definition, and scalable architecture for future feature growth.

Solution

Radixweb built a functional MVP with all core features in 55 days, securing 2x investor funding.

Cloud Migration and Contact Center Modernization

Cloud Migration and Contact Center Modernization

Insurance

Challenge

A legacy contact center caused downtime, lacked modern integrations, and relied on manual processes and siloed data.

Solution

Radixweb modernized the service platform and migrated it to Azure's Digital Contact Centre Platform.

EHR-Integrated Telehealth Portal Enhances Patient Care

EHR-Integrated Telehealth Portal Enhances Patient Care

Healthcare

Challenge

Patients struggled with fragmented care journeys due to disconnected systems and records.

Solution

Developed a unified platform integrating telehealth and EHR workflows for more connected services.

DevSecOps to Boost SaaS Security and Performance

DevSecOps to Boost SaaS Security and Performance

Financial Services

Challenge

Manual deployment with limited pipeline, lacking efficient packaging and version control.

Solution

Implemented DevSecOps with automated security checks to streamline deployments and maintain scalability.

At a Glance

  • Location

    Frisco, United States

  • Founded

    2000

  • Team Size

    201 – 500
  • Typical Budget

    $25,000–$999,999

  • Timeline

    Project-dependent; MVP builds delivered in as few as 55 days; enterprise modernization and long-term partnerships span 1–3+ years with ongoing retainer models.

  • Delivery

    RemoteHybrid
  • Engagement

    Project BasedRetainer
  • Pricing

    $25 - $49
  • Client Tier

    Mid MarketEnterprise
  • Regions Served

    Northern AmericaNorthern EuropeWestern EuropeWestern Asia
  • Languages

    English

Focus Areas

Industries

HR & RecruitmentRetail & EcommerceHealthcareFinancial Services

Specialties

RAG PipelinesEnterprise System ModernizationDevsecopsAI Agent WorkflowsEhr IntegrationLLM IntegrationCloud Native Development

Verticals

Electronic Health RecordsUnderwriting AutomationApplicant TrackingTalent Acquisition

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Signal
CategoryAI Consulting StrategyAI Consulting StrategyAI Consulting Strategy
LocationFrisco, United StatesLondon, United KingdomBerlin, Germany
Team SizeNot listedNot listedNot listed
Client TierMid MarketEnterpriseEnterprise
Delivery ModelRemoteHybridHybrid
Typical Budget$25,000 – $999,999$250,000+Not listed
Services
Custom AI App BuildingRAG Pipeline DevelopmentAutonomous AI Agents+2
AI Use Case IdentificationAI Operating Model DesignAI Proof of Concept+2
AI Use Case IdentificationAI Operating Model DesignAutonomous AI Agents+2
Tech Stack
Azure OpenAI ServiceAWS BedrockGoogle Vertex AI+2
Not listedNot listed