We are an AI-assisted development company that helps US SaaS, fintech, and healthtech teams launch software faster. Our AI Delivery Framework™, combined with senior engineering expertise, shortens time-to-market, improves delivery predictability, and reduces product risk.
Endless discovery cycles and vague requirements are the #1 reason software ships late. Our AI-assisted development services help you move faster with a 2-week sprint that speeds up research, clarifies requirements, and defines the right architecture from the start.
Our senior engineers use AI across discovery, architecture, build, and QA to ship code, architecture, documentation, and runbooks in 6 weeks.
We take AI-generated codebases from Cursor, Lovable, Bolt, v0, Copilot, and similar tools and bring them to production-ready quality. Cleanup engagements run 3–8 weeks against a scope defined after the initial audit.
Build your first prototype quickly with tools like Cursor, Lovable, Bolt, or Copilot. When it is time to meet investor expectations, security requirements, or real customer demand, Relevant helps you take the next step. We strengthen your MVP and turn it into a secure, scalable, and maintainable product ready for production.
Our senior engineers modernize aging production architecture, codebase, data layer, and integrations while keeping them operational throughout the work.
Relevant designs, builds, and deploys AI agents and workflow automation as production systems. Agents ship into isolated, containerized environments with built-in access controls, audit logging, and observability.
Our QA teams use Playwright, Codium-class tools, and AI-generated test cases to accelerate regression testing, increase coverage, and deliver more reliable releases. Senior QA engineers define the test strategy and manage risk throughout the process.
A senior team that continues to support your product after launch with new features, refactoring, performance improvements, and AI feature development on a predictable monthly cadence.
We audit your delivery workflow, map the bottlenecks, and integrate AI across the SDLC without disrupting the people, tools, or codebase you’ve built. The outcome is a faster team, not a replaced team.
Add senior OpenAI engineers to your team when you need to scale a roadmap, fill a skill gap, or ship an LLM product fast. Our developers integrate into your stand-ups, tools, and on-call rotation, and they own delivery from day one.
In 2-3 weeks, our senior team turns an unclear AI product idea into a defined plan before development starts. We deliver a PRD, architecture blueprint, delivery roadmap, risk register, and phased budget.
We build your MVP in 6 weeks with senior engineers and approved AI tools across delivery.
Accelerate development by up to 50% with a secure AI-assisted development workflow. Cursor, Copilot, and Claude speed up drafting and refactoring within strict IP guardrails, while senior engineers review and approve every line of production code.
Our QA teams use Playwright, Codium-class tools, and AI-generated test cases to accelerate regression testing, increase coverage, and deliver more reliable releases. The work integrates into your CI/CD pipeline with traceable acceptance criteria, and senior QA engineers own the test strategy and risk model throughout
Avoid losing months to project handoffs. Notion AI, Mintlify, and Docusaurus help turn engineering artifacts into clear documentation and onboarding materials, so your internal team can take over smoothly.
Protect your code, data, and reputation with strict security guardrails. The Relevant AI Delivery Framework applies clear data handling rules, mandatory human review, and continuous compliance across HIPAA, SOC 2, ISO 27001, and PCI-DSS.
The Relevant AI Delivery Framework™ spots risk early, sets a fixed scope, and keeps every AI-assisted development engagement predictable from kickoff to launch.
Our team has built complex platforms before, so we know where AI helps and where human judgment matters. Senior engineers make the decisions, and AI supports the work.
We are ISO 27001:2022 certified and HIPAA-ready, with clear IP and data handling policies for every AI tool we use. Your codebase and data stay protected.
Relevant’s AI Delivery Framework™ applies AI at each stage of development, with a clear role. At the same time, our senior engineers make a decision, while the framework gives them better information to make it with.
Relevant has built revenue-generating products for SaaS, fintech, healthtech, real estate, and 11 other industries, including regulated and high-traffic markets.
The same engineers stay with your project from kickoff through ongoing support, so you avoid re-onboarding, lost context, and delivery disruption.
We have a 4.9 Clutch rating based on third-party validation from verified clients who highlight transparency, communication, and delivery quality.
Get a validated scope, architecture plan, build estimate, and risk map in 14 days, fully credited toward your build.
AI-assisted development is a structured delivery model where senior engineers use AI tooling across discovery, architecture, build, QA, and delivery to shorten time-to-market, improve predictability, and reduce product risk. The value is engineering-led: AI accelerates the work, senior engineers own the decisions, and the resulting product ships faster and with fewer defects than a traditional engagement of the same scope.
AI development typically refers to engagements where AI tools generate large portions of the codebase with minimal senior engineering review. The cost is usually lower, but the trade-offs are real: hallucinations make it into production, security patterns are inconsistent, IP handling is unclear, and code quality varies significantly across the codebase because there is no senior engineering owner enforcing standards.
AI coding (or “vibe coding”) usually refers to a workflow where individual developers — or even non-developers — use AI tools like Cursor, Lovable, or Bolt to generate working software directly, without a structured engineering process around the output. The work ships quickly, but the codebase typically lacks tests, has security gaps, follows inconsistent patterns, and is difficult to maintain or extend.
Engagements using the Relevant AI delivery framework typically deliver up to 50% faster development cycles, up to 2x faster discovery, and up to 20% fewer production bugs compared to traditional engagements of comparable scope.
The acceleration comes from three specific layers:
Every AI tool integrated into our delivery workflow has an approved IP and data handling policy, defined security rules, and explicit human-review checkpoints. Production code, architecture decisions, customer data flows, and any code path touching authentication, payments, or regulated data remain owned by senior engineers.
Security is governed by ISO 27001:2022 certification and HIPAA-ready operational controls. The framework includes data classification rules that determine which tools can access which data categories. IP exposure is controlled by tool selection, prompt review, and contractual data handling commitments from the vendors whose tools we use. Hallucinations are surfaced and caught by mandatory human review of all AI-generated code and content before integration.
Yes, we can. Relevant designed the AI Delivery Acceleration service for engineering teams that want measurable improvements in delivery speed and quality without restructuring how they work. The engagement begins with a structured review of your current discovery, architecture, development, QA, and release processes to identify the specific points where AI tooling delivers the highest impact for your team’s stack, codebase, and delivery patterns.
The integration then runs in phases. AI tooling is introduced into selected workflows with your team’s input on which to prioritize, training is provided where the tools require it, and observability is added so the impact on cycle time and quality can be measured. Your team continues to operate inside the engineering processes they already know — code review, branching strategy, CI/CD, deployment cadence — while AI tooling reduces the manual overhead on the parts of the work that benefit most.
There are two natural entry points depending on what your team needs.
If you are not sure which fits your situation, book a call with our team. We will map your current state, the bottlenecks you are hitting, and the outcomes you are trying to reach, and recommend the engagement structure that fits.
Yes, we do. AI-assisted development services cover web, mobile, backend, data, and AI/ML work within a single cross-functional senior team. Engagements that span multiple surfaces, for example a web application with a mobile companion, a backend platform with embedded ML, a customer-facing product with internal automation — are scoped and delivered by one team with shared architecture, shared engineering standards, and shared accountability for the outcome.
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As an AI-assisted development partner, we provide B2B SaaS teams with a senior product team that delivers faster, more predictable results. We build the foundations that matter, including multi-tenant architecture, billing, role-based access, and self-serve onboarding.
We ship grounded copilots, RAG search, agentic workflows, and ML-driven features with evals, guardrails, observability, and IP guardrails baked in. AI features your security team can sign off on.
Relevant supports neobanks, lending platforms, payments, embedded finance, and KYC/AML solutions. From day one, we build with PCI-DSS, SOC 2, and SOX requirements in mind, leveraging AI within controlled, auditable workflows.
Our AI-assisted software development supports telehealth, remote patient monitoring, EMR and EHR integrations, clinical decision support, and patient engagement platforms. We build HIPAA-ready, FHIR-native solutions with audit readiness and clear policies for responsible AI use.
Relevant builds native iOS, native Android, React Native, and Flutter apps with offline-first functionality, store-ready quality, and test coverage strengthened by AI-assisted test generation and senior QA review.
Our AI-assisted web development pods build modern web apps and customer portals with Next.js, React, and edge-native architecture. We focus on speed, accessibility, and search visibility, with solutions designed to meet WCAG 2.1 AA standards and support both SEO and GEO goals.
We build internal CRMs, admin dashboards, and workflow tools that connect with Salesforce, HubSpot, SAP, Workday, and your data warehouse. When AI is part of the solution, we apply it within clear enterprise controls and governance standards.
We build trusted analytics foundations with lakehouses, governed pipelines, and semantic layers for reporting and AI.
