OCR Studio
Precision extraction from financial and clinical documents.
AiRite isn’t about adding more hands to the team — it’s about elevating how the team works. We built this platform to embed intelligence into every sprint, so progress compounds instead of just scaling linearly. By offloading repetitive tasks to specialized agents, our engineers stay focused on the decisions that matter: architecture, domain expertise, and user impact.
AiRite makes engineering not only faster, but smarter — turning delivery into a cycle of continuous improvement rather than a race against deadlines.
Sets up scaffolding and reusable patterns so architects focus on design, not boilerplate.
Turns conversations into structured requirements, reducing ambiguity and missed intent.
Auto‑generates test cases, surfaces edge conditions, and keeps coverage aligned with velocity.
Accelerates new team members with interactive, context‑aware walkthroughs.
Precision extraction from financial and clinical documents.
Standardizes imaging for healthcare AI pipelines.
Domain‑specific vision systems built from scratch.
Benchmarks accuracy and hallucination rates for regulated use cases.
Context‑aware AI IDE integrated into engineering workflows.
All AiRite components run on Rite’s proprietary local models — not generic wrappers.
Mobile isn’t just about shipping apps — it’s about building platforms that stand up to scale, regulation, and user expectations. Our accelerators embed security, HL7 compliance, and edge AI into the framework itself, so every project starts with resilience baked in.
These aren’t shortcuts. They’re architectural patterns refined across dozens of production deployments, capturing what works under pressure and eliminating what fails in the real world. The result: delivery cycles shortened by 20–30%, without compromising compliance or performance.
Integrates KEK-DEK key management (Key Encryption Key / Data Encryption Key) and automated vulnerability remediation to safeguard sensitive mobile data and eliminate zero-day risks.
Features dedicated IoT frameworks, custom medical device & IoT simulators, and low-energy BLE protocols for rapid testing and reliable real-time hardware communication.
Pre-built connectors compliant with HL7 standards to enable seamless, secure, and HIPAA-compliant communication with health platforms and EHR systems.
Embeds lightweight Edge AI models directly onto mobile hardware for low-latency, offline-capable intelligence.
Automated CI/CD deployment pipelines paired with high-throughput FCM/APNs notification engines for fast, reliable multi-platform app delivery.
Mobile engineering at Rite means speed with substance: reusable stacks that make every launch stronger, safer, and smarter.
Our DevSecOps foundations ensure that every pipeline is secure, auditable, and production‑ready from day one. By embedding compliance controls, automated testing, and encryption into the delivery process, we eliminate the speed-safety trade-off.
Each project archetype, whether healthcare or fintech, comes with pre‑configured CI/CD pipelines tuned to its domain. That means your first deployment carries the same rigour and resilience as your hundredth.
Aligned to industry archetypes.
Adapted to unique environments but grounded in proven patterns.
Encryption, OWASP safeguards, and compliance checks integrated from sprint one.
With DevSecOps Foundations, Rite delivers velocity without vulnerability, making trust a built‑in feature, not an afterthought.
At Rite, design doesn’t stop at the mockup; it flows seamlessly into production. Our Design‑to‑Code system bridges creative vision and engineering precision, ensuring that every pixel translates into versioned, reviewable code.
By connecting designing tools directly to our engineering stack, we eliminate the gap between design intent and implementation. Every update is tracked, every animation optimized, and every component aligned with compliance and performance standards.
This isn’t just automation; it’s a collaboration framework where designers and engineers work in sync, accelerating delivery while preserving creativity.
At Rite, we don’t just adopt AI — we architect it. Our engineering teams build domain‑specific models from scratch, tuned to the realities of regulated industries. Whether it’s clinical imaging in healthcare or document classification in fintech, we design AI that is purpose‑built, data‑driven, and compliance‑ready.
This isn’t fine‑tuning a generic model and hoping it fits. It’s constructing intelligence layer by layer, ensuring accuracy, reliability, and trustworthiness where “almost right” isn’t good enough. By owning the full stack — from data pipelines to model evaluation — we position ourselves as an AI engineering organization with real IP, not just an AI consumer.
Rite Automation Framework (RAF) is our in-house test automation engine. It tests web, desktop, mobile and API layers from a single framework. Test cases are written in Excel using plain-language keywords, and results are reported automatically.
Testers describe each step in Excel using keywords such as Click, EnterText, Get and Post. Writing tests requires no code.
RAF reads the workbook and runs each step on the target platform, whether that is a browser, a desktop application, a device or a service.
Pass/fail status, actual results and elapsed time are written back to the same workbook, with a final verdict and total run time. Linked Jira tickets can be updated automatically.
RAF returns a clear pass/fail signal after every run, so it can serve as an automated quality gate in your CI/CD pipeline.
RAF is data-driven by design, so one scenario runs against many data sets and teams never duplicate steps for every variation. A single test can move between platforms as the user journey demands: it can start on the web, continue in a mobile app and verify a notification on a desktop client, all in one run. One script can publish a device reading over MQTT, query it through a REST API and check what the interface displays.
Any run can start from a chosen step, which saves time when debugging or rerunning a long test. Common steps are built once and shared across test cases, and together with the Page Object Model this keeps large suites easy to maintain. The framework supports functional, regression and end-to-end testing, captures execution results and failures automatically, and tracks defects and test cycles in Jira.
Whether your product runs on the web, on mobile, on the desktop or behind an API, RAF gives your team one consistent way to test it. Tell us what you are building, and we'll show you how RAF can fit your delivery process.
Client teams receive documentation, training and playbooks, so they stay self‑sufficient long after delivery.
Pre‑built modules for HIPAA, PCI DSS, SOC 2 and GDPR make compliance part of the foundation from the first sprint.
Load testing, monitoring and optimisation are built into our accelerators, so systems scale under real‑world demand.
Automated failover, backup pipelines and regular recovery drills support the uptime our clients commit to.
Labs for AI, mobile, security and design, where new ideas are prototyped and hardened before they reach clients.
Multi‑region deployments, multilingual support and compliance with the regulatory regimes of the 7 regions we serve.
Building, scaling, or looking for a long-term partner — we’d love to hear what you’re working on.
Tell me what you’re shaping.
AiRite isn’t about adding more hands to the team — it’s about elevating how the team works. We built this platform to embed intelligence into every sprint, so progress compounds instead of just scaling linearly. By offloading repetitive tasks to specialized agents, our engineers stay focused on the decisions that matter: architecture, domain expertise, and user impact.
AiRite makes engineering not only faster, but smarter — turning delivery into a cycle of continuous improvement rather than a race against deadlines.
Sets up scaffolding and reusable patterns so architects focus on design, not boilerplate.
Turns conversations into structured requirements, reducing ambiguity and missed intent.
Auto‑generates test cases, surfaces edge conditions, and keeps coverage aligned with velocity.
Accelerates new team members with interactive, context‑aware walkthroughs.
Precision extraction from financial and clinical documents.
Standardizes imaging for healthcare AI pipelines.
Domain‑specific vision systems built from scratch.
Benchmarks accuracy and hallucination rates for regulated use cases.
Context‑aware AI IDE integrated into engineering workflows.
All AiRite components run on Rite’s proprietary local models — not generic wrappers.
Mobile isn’t just about shipping apps — it’s about building platforms that stand up to scale, regulation, and user expectations. Our accelerators embed security, HL7 compliance, and edge AI into the framework itself, so every project starts with resilience baked in.
These aren’t shortcuts. They’re architectural patterns refined across dozens of production deployments, capturing what works under pressure and eliminating what fails in the real world. The result: delivery cycles shortened by 20–30%, without compromising compliance or performance.
Integrates KEK-DEK key management (Key Encryption Key / Data Encryption Key) and automated vulnerability remediation to safeguard sensitive mobile data and eliminate zero-day risks.
Features dedicated IoT frameworks, custom medical device & IoT simulators, and low-energy BLE protocols for rapid testing and reliable real-time hardware communication.
Pre-built connectors compliant with HL7 standards to enable seamless, secure, and HIPAA-compliant communication with health platforms and EHR systems.
Embeds lightweight Edge AI models directly onto mobile hardware for low-latency, offline-capable intelligence.
Automated CI/CD deployment pipelines paired with high-throughput FCM/APNs notification engines for fast, reliable multi-platform app delivery.
Mobile engineering at Rite means speed with substance: reusable stacks that make every launch stronger, safer, and smarter.
Our DevSecOps foundations ensure that every pipeline is secure, auditable, and production‑ready from day one. By embedding compliance controls, automated testing, and encryption into the delivery process, we eliminate the speed-safety trade-off.
Each project archetype, whether healthcare or fintech, comes with pre‑configured CI/CD pipelines tuned to its domain. That means your first deployment carries the same rigour and resilience as your hundredth.
Aligned to industry archetypes.
Adapted to unique environments but grounded in proven patterns.
Encryption, OWASP safeguards, and compliance checks integrated from sprint one.
With DevSecOps Foundations, Rite delivers velocity without vulnerability, making trust a built‑in feature, not an afterthought.
At Rite, design doesn’t stop at the mockup; it flows seamlessly into production. Our Design‑to‑Code system bridges creative vision and engineering precision, ensuring that every pixel translates into versioned, reviewable code.
By connecting designing tools directly to our engineering stack, we eliminate the gap between design intent and implementation. Every update is tracked, every animation optimized, and every component aligned with compliance and performance standards.
This isn’t just automation; it’s a collaboration framework where designers and engineers work in sync, accelerating delivery while preserving creativity.
At Rite, we don’t just adopt AI — we architect it. Our engineering teams build domain‑specific models from scratch, tuned to the realities of regulated industries. Whether it’s clinical imaging in healthcare or document classification in fintech, we design AI that is purpose‑built, data‑driven, and compliance‑ready.
This isn’t fine‑tuning a generic model and hoping it fits. It’s constructing intelligence layer by layer, ensuring accuracy, reliability, and trustworthiness where “almost right” isn’t good enough. By owning the full stack — from data pipelines to model evaluation — we position ourselves as an AI engineering organization with real IP, not just an AI consumer.
Rite Automation Framework (RAF) is our in-house test automation engine. It tests web, desktop, mobile and API layers from a single framework. Test cases are written in Excel using plain-language keywords, and results are reported automatically.
Testers describe each step in Excel using keywords such as Click, EnterText, Get and Post. Writing tests requires no code.
RAF reads the workbook and runs each step on the target platform, whether that is a browser, a desktop application, a device or a service.
Pass/fail status, actual results and elapsed time are written back to the same workbook, with a final verdict and total run time. Linked Jira tickets can be updated automatically.
RAF returns a clear pass/fail signal after every run, so it can serve as an automated quality gate in your CI/CD pipeline.
RAF is data-driven by design, so one scenario runs against many data sets and teams never duplicate steps for every variation. A single test can move between platforms as the user journey demands: it can start on the web, continue in a mobile app and verify a notification on a desktop client, all in one run. One script can publish a device reading over MQTT, query it through a REST API and check what the interface displays.
Any run can start from a chosen step, which saves time when debugging or rerunning a long test. Common steps are built once and shared across test cases, and together with the Page Object Model this keeps large suites easy to maintain. The framework supports functional, regression and end-to-end testing, captures execution results and failures automatically, and tracks defects and test cycles in Jira.
Whether your product runs on the web, on mobile, on the desktop or behind an API, RAF gives your team one consistent way to test it. Tell us what you are building, and we'll show you how RAF can fit your delivery process.
Client teams receive documentation, training and playbooks, so they stay self‑sufficient long after delivery.
Pre‑built modules for HIPAA, PCI DSS, SOC 2 and GDPR make compliance part of the foundation from the first sprint.
Load testing, monitoring and optimisation are built into our accelerators, so systems scale under real‑world demand.
Automated failover, backup pipelines and regular recovery drills support the uptime our clients commit to.
Labs for AI, mobile, security and design, where new ideas are prototyped and hardened before they reach clients.
Multi‑region deployments, multilingual support and compliance with the regulatory regimes of the 7 regions we serve.
Building, scaling, or looking for a long-term partner — we’d love to hear what you’re working on.