AI Applications

SHAPE builds AI chatbots & recommendation systems for deploying conversational AI and recommendation engines that are grounded, integrated, and measurable in production. This service page covers capabilities, safety and governance, real-world use cases, and a step-by-step playbook to launch and iterate reliably.

AI Governance

SHAPE’s AI ethics, risk & governance service helps organizations establish responsible AI practices with risk-tiered controls, evaluation, and audit-ready documentation. The page explains key AI risk areas, governance operating models, and a step-by-step playbook to launch and monitor AI safely.

AI Governance

SHAPE’s Model Governance & Lifecycle Management service helps teams manage compliance, auditing, and model lifecycle with risk-tiered controls, audit-ready evidence, and production monitoring. The page outlines key AI risk areas, governance operating models, and a step-by-step playbook to safely ship, change, and retire models.

AI Strategy

SHAPE’s use-case identification & prioritization service helps teams find high-impact AI opportunities by scoring candidate initiatives on value, feasibility, and risk—then turning the winners into a practical pilot and production plan.

AI Strategy

SHAPE’s AI strategy & roadmap service defines how AI supports business objectives, turning scattered experimentation into a prioritized plan with governance, measurement, and phased delivery. The page outlines core principles, common use cases, and a practical step-by-step playbook to ship pilots and scale them safely.

APIs

SHAPE provides API development (REST, GraphQL) focused on creating secure and scalable APIs that power web apps, mobile apps, and partner integrations. This service page explains REST vs GraphQL, the API lifecycle, key security practices, common use cases, and a step-by-step playbook to ship production-ready APIs.

Accessibility

SHAPE’s Accessibility (WCAG) design service helps teams ensure inclusive design and standards compliance by translating WCAG requirements into usable patterns, components, and QA-ready acceptance criteria. Learn how WCAG works, what conformance levels mean, and a practical step-by-step approach to design and validate accessible experiences.

Accessibility

SHAPE’s Accessibility (WCAG) design service translates WCAG into practical UX, UI, and content decisions so teams can ship inclusive experiences with measurable, testable quality. Learn how WCAG is structured, what conformance levels mean, and a step-by-step process for ensuring inclusive design and standards compliance at scale.

Accessibility

SHAPE’s Accessibility (WCAG) design service helps teams ensure inclusive design and standards compliance by translating WCAG into practical UX, UI, and build-ready requirements. The page explains WCAG’s POUR principles, conformance levels, real-world use cases, and a step-by-step process to design and validate accessible experiences.

Analytics

SHAPE builds data pipelines & analytics dashboards that process data and visualize insights with consistent KPI definitions, automated quality checks, and fast drilldowns. This service page explains pipeline patterns, dashboard best practices, common use cases, and a step-by-step playbook to ship production-ready analytics.

Applications

SHAPE provides web application development focused on developing scalable and interactive web applications with React, Vue, and Next.js. This service page explains web app types, modern stacks, common use cases, and a step-by-step process to plan, build, launch, and iterate.

Applications

SHAPE provides web app development using React, Vue, Next.js, and more—focused on developing scalable and interactive web applications with strong architecture, performance, and secure integration patterns. The page outlines best practices, common use cases, and a step-by-step process to take a web app from idea to production.

Architecture

SHAPE’s app architecture & scalability service focuses on designing app structures for growth and performance, reducing regressions while improving speed, reliability, and delivery velocity. This page explains architecture principles, layering, scalability patterns, use cases, and a step-by-step playbook to build a maintainable foundation.

Architecture

SHAPE designs and delivers microservices & serverless systems to build modular and scalable backend systems that are easier to deploy, operate, and evolve. This page covers best practices, architecture and data patterns, real-world use cases, and a step-by-step playbook for shipping production-ready distributed backends.

Automation

SHAPE’s process automation & RPA service helps organizations automate workflows using software bots with reliable orchestration, secure integrations, and measurable operational impact. This page explains automation types, governance essentials, common use cases, and a step-by-step playbook to ship production-ready automation.

CMS

SHAPE delivers CMS development focused on implementing content management systems across headless CMS, WordPress, and Webflow—so teams can publish faster with strong governance and scalable templates. This page explains CMS types, key benefits, common use cases, and a step-by-step implementation tutorial.

Cloud

SHAPE’s cloud architecture (AWS, GCP, Azure) service designs cloud-based infrastructure that is secure, scalable, and cost-aware. This page explains core cloud architecture components, common patterns, real-world use cases, and a step-by-step process to plan a reliable cloud foundation.

Compliance

SHAPE helps teams meet regulatory and security standards by operationalizing compliance across GDPR, SOC 2, and HIPAA with measurable controls, audit-ready evidence, and continuous monitoring.

Cross-platform

SHAPE builds cross-platform apps with React Native and Flutter, helping teams ship high-quality mobile experiences from a shared codebase. This page explains framework selection, architecture, integrations, common use cases, and a step-by-step playbook for building apps that run on multiple platforms.

Data

SHAPE’s database design & data modeling service helps teams structure data for reliability and performance by defining clear entities, relationships, constraints, and query-friendly schemas. This page covers core modeling concepts, normalization trade-offs, real-world patterns, and a step-by-step process to design a production-ready database model.

Deployment

SHAPE’s app store deployment & optimization service helps teams publish, maintain, and optimize app listings to improve discoverability, conversion, and long-term store performance. This page explains how app store search works, core ASO levers, common use cases, and a step-by-step deployment playbook.

DevOps

SHAPE’s DevOps & CI/CD pipelines service helps teams automate testing, deployment, and infrastructure so releases become fast, safe, and repeatable. This page explains DevOps fundamentals, how CI/CD works, common use cases, and a step-by-step playbook to implement production-ready delivery automation.

E-commerce

SHAPE provides e-commerce development for Shopify and custom commerce platforms, focused on building and optimizing online stores that load fast, convert reliably, and stay easy to operate. This page covers platform selection, core deliverables, practical use cases, and a step-by-step launch playbook.

ERP/CRM

SHAPE delivers ERP / CRM integrations that connect systems like Salesforce, HubSpot, and SAP so customer, finance, and operations data stays consistent and actionable. This page explains integration patterns, governance essentials, real-world use cases, and a step-by-step playbook to implement secure, reliable integrations.

Generative AI

SHAPE builds Custom GPTs & internal AI tools—tailored AI assistants for teams and products—by combining grounded knowledge, tool integrations, guardrails, and ongoing evaluation. This page explains core capabilities, practical use cases, and a step-by-step playbook to launch a production-ready assistant.

Generative AI

SHAPE’s LLM integration service helps teams integrate large language models into products and workflows with grounded knowledge, tool calling, guardrails, and ongoing evaluation. This page explains production architectures, governance essentials, real-world use cases, and a step-by-step playbook to launch reliably.

Generative AI

SHAPE builds production RAG systems (knowledge-based AI) that connect LLMs to private data sources securely, with permission-aware retrieval, citations, and measurable quality. This page explains how RAG works, where it delivers ROI, and a step-by-step playbook to launch reliably.

Generative AI

SHAPE’s AI content generation service helps teams generate text, images, and code using generative models with reliable prompts, grounding, review workflows, and measurable quality. This page explains how it works, what to look for in tooling, and a step-by-step playbook to launch production-ready AI content workflows.

Generative AI

SHAPE’s AI content generation service helps teams generate text, images, and code using generative models with brand governance, safety guardrails, and measurable quality. The page explains how to choose tools, common use cases, and a step-by-step playbook to launch production-ready workflows.

Handoff

SHAPE’s design-to-development handoff service prepares design assets for smooth engineering implementation with clean files, explicit specs, component mapping, responsive rules, and QA-ready acceptance criteria. Use this page to understand what a strong handoff includes, when it’s most valuable, and how to operationalize it step-by-step.

Integration

SHAPE builds third-party service integrations that connect external tools and platforms with secure auth, reliable sync, and full observability. This page explains integration patterns, governance essentials, real-world use cases, and a step-by-step playbook to ship production-grade integrations.

Internal Tools

SHAPE builds custom internal tools & dashboards—tools for operations and analytics that replace spreadsheets, unify workflows, and deliver trusted KPIs with secure access and auditability. This page outlines core capabilities, common use cases, and a step-by-step approach to plan, build, and launch internal tooling that teams adopt.

MLOps

SHAPE’s model deployment & versioning service helps teams manage AI models across environments and versions with stable inference contracts, controlled rollouts, and full traceability. This page explains deployment patterns, versioning governance, key use cases, and a step-by-step playbook for production-ready releases.

MLOps

SHAPE’s AI pipelines & monitoring service builds production-grade AI systems by tracking model performance, uptime, and drift across the full lifecycle from data ingestion to deployment. This page explains core pipeline concepts, monitoring signals, common use cases, and a step-by-step implementation playbook.

MLOps

SHAPE’s model performance optimization service improves accuracy, latency, and cost efficiency for ML and LLM systems by combining evaluation, profiling, serving improvements, and ongoing monitoring. The page explains optimization levers, common use cases, and a step-by-step production playbook.

MLOps

SHAPE builds data labeling & training workflows to prepare and manage datasets for model training with consistent schemas, clear guidelines, and measurable quality control. The page explains labeling types, end-to-end workflow design, real-world use cases, and a step-by-step playbook to launch a scalable labeling pipeline.

Machine Learning

SHAPE’s machine learning model integration service helps teams integrate predictive and intelligent systems into production applications with reliable inference, monitored data/feature contracts, and safe rollout controls. This page explains integration patterns, governance essentials, real-world use cases, and a step-by-step playbook to ship ML systems that stay trustworthy after launch.

Marketing

SHAPE designs and builds marketing websites & landing pages that convert by combining clear positioning, strong proof, and fast performance. This service page outlines proven conversion patterns, key trends, common use cases, and a step-by-step process for building conversion-focused marketing sites.

Modernization

SHAPE provides legacy system modernization services focused on upgrading outdated systems safely, incrementally, and without pausing product delivery. This page explains modernization approaches, planning considerations, real-world use cases, and a step-by-step playbook for executing a phased modernization roadmap.

Native

SHAPE designs and develops iOS & Android native apps that deliver top performance, platform-native UX, and deep device integration. This page explains native vs web vs hybrid trade-offs, when native is the best choice, and a step-by-step process to ship reliable native mobile applications.

Optimization

SHAPE’s performance optimization & SEO implementation service improves speed, discoverability, and rankings by fixing crawl/index issues, strengthening on-page structure, and optimizing Core Web Vitals. This page explains the fundamentals and provides a step-by-step playbook for implementing sustainable technical SEO improvements.

Performance

SHAPE’s performance & load testing service tests scalability and stability under load by simulating realistic traffic, identifying bottlenecks across app/API/DB layers, and delivering actionable fixes and regression gates.

Personalization

SHAPE builds personalization engines for delivering customized user experiences across web, mobile, and messaging—grounded in reliable data, controlled decisioning, and measurable lift. This service page explains how personalization engines work, key architecture options, real-world use cases, and a step-by-step playbook to launch safely.

Prototyping

SHAPE’s Wireframing & Prototyping service helps teams align quickly and reduce build risk by creating low- and high-fidelity design prototypes for critical product flows. This page explains wireframe types, best practices, use cases, and a step-by-step process for turning ideas into clickable, testable experiences.

Research

SHAPE’s User Research & Stakeholder Interviews service helps teams reduce risk and accelerate alignment by gathering insights from users and stakeholders to inform decisions. Learn the methods, best practices, use cases, and a step-by-step process for turning evidence into action.

Research

SHAPE provides UX research & usability testing focused on evaluating user behavior through research and testing, so teams can quickly uncover friction, improve task success, and ship experiences that drive conversion and adoption. This page explains testing types, common use cases, and a step-by-step process to turn findings into measurable improvements.

Responsible AI

SHAPE’s Explainable AI services help organizations make AI decisions transparent and interpretable with practical explanation methods, evaluation, and audit-ready governance. The page covers core XAI techniques, real-world use cases, and a step-by-step playbook to implement explainability in production.

Responsible AI

SHAPE’s Bias Detection & Mitigation service helps organizations identify and reduce unfair model behavior using slice-based evaluation, practical fairness metrics, and deployable mitigation strategies. The page outlines governance-ready deliverables, real-world use cases, and a step-by-step playbook to operationalize fairness monitoring in production.

Responsible AI

SHAPE’s Privacy-Preserving AI services help teams deploy AI while ensuring data security and regulatory compliance through privacy-by-design architecture, technical safeguards, and audit-ready governance. The page explains core methods, real-world use cases, and a step-by-step implementation playbook to operationalize privacy in production.

Responsible AI

SHAPE’s AI regulatory compliance service aligns AI systems with legal and industry standards across GDPR, the EU AI Act, and HIPAA by translating requirements into measurable controls, audit-ready evidence, and production monitoring.

Security

SHAPE’s security audits & penetration testing service identifies vulnerabilities and threats across web apps, APIs, cloud environments, and internal networks—then delivers proof-based findings, prioritized remediation guidance, and retesting to confirm fixes.

Security

SHAPE’s security audits & penetration testing identify vulnerabilities and threats across apps, APIs, and cloud environments by simulating real attacker paths, validating exploitability, and delivering prioritized remediation guidance with retesting.

Structure

SHAPE’s Information Architecture service organizes content and flows for clarity and usability, helping users find information faster and complete key journeys with less friction. Learn what IA includes, when to invest, practical use cases, and a step-by-step process to build a scalable structure.

Systems

SHAPE builds UI design systems & component libraries by building reusable components and visual guidelines that help teams ship consistent interfaces faster. This service page explains what a design system includes, how governance works, common use cases, and a step-by-step process for creating an adoptable system.

Testing

SHAPE’s manual & automated testing services ensure quality through testing practices that blend exploratory human testing with reliable automation and CI/CD quality gates. The page explains how to choose the right mix, common use cases, and a step-by-step playbook to build a scalable testing program.

Validation

SHAPE’s Market Validation & MVP Definition service helps teams reduce risk by testing product ideas and defining minimum viable products backed by customer evidence. Learn methods, use cases, and a step-by-step process to validate demand and scope an MVP you can ship.