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Full-Cycle Software Engineering That Holds Up at Scale

460+ delivered projects. 20+ years in engineering. 650+ specialists. Trusted by companies operating at a multi-billion-dollar scale. SPD Technology works across software product development, fintech and payments, AI/ML, data and analytics, cloud infrastructure, and enterprise automation to help companies build, modernize, and scale complex digital products.

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  1. SPD Technology
  2. Full-Cycle Software Engineering That Holds Up at Scale

Trusted Globally by Innovation-Driving Companies

From FinTech industry stalwarts to industry-leading eCommerce providers, from well-established large and mid-sized businesses in a range of verticals to promising digital startups

  1. An American financial services firm that provides investment research and investment management services
  2. Financial data and software company with offices in London, New York, San Francisco, and Seattle.
  3. All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
  4. One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
  5. SaaS XSPN – Next Generation Application & Cloud Security Posture Management
  6. A leading tech-enabled insurance company that provides workers’ comp coverage to small businesses
  7. A UK-based provider of online payment solutions to businesses of all sizes worldwide

Expert Engineering Services Across the Full Technology Stack

Six engineering disciplines — one delivery standard. SPD Technology helps companies build software products, modernize systems, scale infrastructure, and introduce AI into everyday operations.

  1. Software Product Development

    Custom software engineering for enterprise platforms, web applications, SaaS products, mobile apps, APIs, and system architecture: from MVPs to large-scale ecosystems.

  2. Fintech & Payment Solutions

    Compliance-focused engineering services for payment infrastructure, fintech platforms, transaction systems, and regulated financial products that require security and high reliability.

  3. AI & Machine Learning

    Custom AI/ML development, LLM-powered applications, generative AI tools, MLOps, and intelligent automation built around real operational use cases.

  4. Data Platforms & Analytics

    Modern data platforms, analytics infrastructure, reporting systems, and real-time processing pipelines that support business intelligence and AI initiatives, from ingestion to insight.

  5. Cloud, DevOps & Infrastructure

    Cloud modernization, DevOps automation, DevSecOps, FinOps, and scalable infrastructure designed for growing ecosystems with a focus on performance, reliability, and cost efficiency.

  6. Enterprise Automation

    Process automation, connected workflows, system orchestration, RPA, and AI-driven operational tools that help teams move faster with less manual effort.

Flexible Engagement Models for Different Engineering Needs

Some companies need a long-term engineering partner. Others need a specialized team to deliver a product, strengthen internal capabilities, or validate technical decisions before scaling further. SPD Technology supports different engagement models depending on your goals, internal resources, delivery timelines, and level of technical ownership required.

  1. Dedicated Engineering Teams

    A cross-functional engineering team working as an extension of your organization that supports long-term product development, modernization, and platform growth.

  2. End-to-End Product Delivery

    Full-cycle delivery covering discovery, architecture, development, testing, and deployment with clear scope, delivery ownership, technical leadership, and production-ready execution.

  3. Staff Augmentation

    Senior engineers are integrated into your existing workflows to strengthen delivery capacity, close skill gaps, or support specialized initiatives without the overhead of hiring internally.

  4. Technical Advisory & Architecture

    Architecture reviews, technical strategy, infrastructure planning, and senior engineering guidance for teams making high-impact technology decisions without a full engagement.

Why Engineering Teams Choose SPD Technology

As products grow, engineering challenges no longer live in one area. Infrastructure affects delivery speed. Product architecture impacts operational cost. AI systems depend on clean and reliable data. SPD Technology brings these capabilities together under one engineering organization with shared standards, senior oversight, and clear delivery ownership.

  1. Full-Stack Under One Roof

    Six engineering disciplines delivered through one partner with shared standards, aligned teams, and clear accountability.

  2. Architecture-Led Engineering

    Senior architects guide delivery decisions, system design, modernization planning, and scalability strategy across engagements.

  3. Compliance-Ready by Design

    Engineering processes aligned with PCI DSS, HIPAA, SOC 2, GDPR, and AML requirements for regulated products and enterprise environments.

  4. 20+ Years of Production Delivery

    460+ completed projects shaped by the hard-won knowledge of what breaks at scale, what creates technical debt, and what actually ships.

  5. Long-Term Engineering Partnerships

    We build systems designed to evolve alongside changing business needs and stay to support them over time, with some client relationships spanning 10+ years.

  6. Recognized Cloud and AI Partnerships

    AWS Select Tier Services Partner with certified delivery experience across cloud-native infrastructure and modern AI technologies, including Anthropic and OpenAI.

Value-Based Outcomes We Delivered

SPD Technology supports high-scale engineering initiatives focused on measurable business and operational outcomes from cloud modernization and payment infrastructure to AI-powered analytics and operational automation

See All Cases
  1. → 10× Lower Data Storage Costs

    Built AI-powered financial data products with automated web crawling across 500+ sources, serverless AWS migration, and a custom IPO data platform.

    See Case Study
  2. → PayFac Status Achieved

    Engineered payment processing infrastructure that helped Poynt expand merchant capabilities ahead of acquisition by a global eCommerce company.

    See Case Study
  3. → 10× Processing Power Increase

    Improved processing speed, storage efficiency, and analytics performance for a large-scale data collection platform.

    See Case Study
  4. → 70M+ Records OLAP System

    Built a client-facing OLAP data platform with near real-time data availability and high-performance analytics capabilities.

    See Case Study
  5. → 30 Hrs/Day of Manual Work Reduced

    Implemented onboarding automation that reduced manual operational work and accelerated merchant updates.

    See Case Study
  6. → <2 Seconds Processing Response Time

    Developed a high-performance analytics solution capable of processing millions of data points with sub-two-second response times.

    See Case Study

Not sure which engineering services fit your project? Talk to a senior solution architect and get a clear view of the right technical approach and engagement model.

Discuss Your Engineering Challenge

What SPD Technology Delivers

Each service area is backed by dedicated specialists, architecture ownership, and production delivery experience across enterprise systems, digital products, AI initiatives, and cloud platforms.

Talk to a Solution Architect
Software Product Development | Expert Engineering Services Across the Full Technology Stack
Software Product Development

Web and mobile applications, enterprise platforms, SaaS products, API ecosystems, QA automation, DevSecOps, product discovery, and startup engineering delivered through custom software product development services across long-term product and modernization initiatives for companies, including Morningstar, PitchBook, and Space Needle.

Software Product Development | What We Deliver

Success Stories
with Global Impact

SPD Technology designs and develops transformative software solutions that drive innovation, new revenue streams, and market leadership.

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Data Analytics & Engineering UI/UX Design

Decade of Evolution: Advancing Mogami’s Finance Application

  • briefcase Industry: Finance, Payments & Fintech
  • globe-earth Country: USA
  • users-group Team Size: 7
  • Significant Performance Improvement: The processing speed of the application’s calculation model was reduced from 15 minutes to just 2 minutes, significantly enhancing user experience and efficiency.
  • Successful Integration and Market Positioning: The integration with the MX solution allowed the app to be utilized by banking institutions, opening new opportunities for marketing the solution within the Financial Services sector.
View Case Study
Business Intelligence Data Analytics & Engineering OLAP

How HaulHub SupplierCI Delivered a Game-Changing Analytical System

  • briefcase Industry: Logistics & Supply Chain
  • globe-earth Country: USA
  • users-group Team Size: 10

    • Data Analytics System Development: successfully developed a robust Data Analytics system, managing and analyzing an extensive dataset comprising 70+ million records.

    • High-Performing OLAP Data Lake System: engineered a client-facing OLAP Data Lake system, specifically tailored for the transport construction domain, ensuring high performance and near real-time data availability.

View Case Study
API development Artificial Intelligence/Machine Learning Custom Software Development Mobile App Development Web App Development

Developing a B2B Legaltech Solution for a LATAM Startup

  • briefcase Industry: LegalTech
  • globe-earth Country: Mexico
  • users-group Team Size: 8
  • Modern AI-Powered Web Platform: A highly customized software solution we created resulted in significant cost savings, groundbreaking functionality, and limitless scalability compared to an existing legacy platform.
  • Improved Speed of Document Processing: Our AI/ML model helps the employees of a client to extract needed information from documents much faster. Human experts only need to correct and check the model’s results. The AI/ML models are in the constant enhancement process with continuous data labeling, so the speed of document processing will only improve over time. 
View Case Study

FAQ

Answering common questions on engineering services by SPD Technology.

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