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Custom Software DevelopmentSystems built to your process
Web Application DevelopmentReact, Next.js, Rails, Django
Mobile App DevelopmentiOS, Android, React Native
App DevelopmentWeb and mobile apps, end to end
SaaS Product DevelopmentMulti-tenant from day one
MVP DevelopmentFirst release in 6–10 weeks
Enterprise SoftwareSSO, audit trails, scale
Connect & operate
API Development & IntegrationREST, GraphQL, webhooks
Cloud & DevOps EngineeringAWS, GCP, Azure, Terraform
QA & Software TestingAutomated suites, load, E2E
Legacy ModernizationStrangler-fig migrations
Cybersecurity EngineeringHardening and remediation
Data EngineeringPipelines, warehouses, reporting
Design & teams
UI/UX DesignInterfaces people finish tasks in
Prototyping & DiscoveryScope before you spend
Staff AugmentationSenior engineers on your team
Dedicated Dev TeamsA full pod, one contract
White-Label DevelopmentEngineering under your brand
Technology ArchitectureDecide once, correctly
Project ManagementDelivery you can audit
Start hereScope a build in one callBring a spec, a wireframe, or a paragraph. You leave with an architecture, a timeline, and a number.Book a scoping call
AI software
AI Application DevelopmentFull-stack AI products
AI Agent DevelopmentMulti-step autonomous agents
AI SaaS DevelopmentMulti-tenant AI products
Workflow AutomationReplace manual ops
Custom LLM AppsBranded internal assistants
LLM & data systems
Private LLM DevelopmentSelf-hosted Llama, Mistral, Qwen
RAG DevelopmentCited answers over your docs
MCP & WebMCPMake your systems agent-callable
Vector Database Setuppgvector, Pinecone, Qdrant
Document IntelligenceOCR and extraction pipelines
Vibe coding
AI-Assisted BuildsFast, with senior review
Rapid PrototypingClickable in days
Concept to CodeIdea to working software
Code Review & CleanupMake AI output shippable
Fractional AI TeamOngoing build capacity
Ready to ship?Put AI where the work isAgents, RAG, and private LLMs wired into the systems your team already uses — not a chatbot bolted to a homepage.Discuss an AI project
By company size
Domain firstWe learn your workflow before we model itRegulated, operational, or high-volume — the constraints belong in the schema, not in a training doc.Talk about your domain
Selected workSoftware we own and operateMost agencies show screenshots. We run the products — the same stack, uptime, and on-call we hand to clients.View the portfolio
The DEV.co product network
AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data roomsCompare
Plan smarterEstimate before you commitCost ranges, scope templates, and the questions we ask in discovery — free, no form.Open the cost calculator
Real conversationsTalk with a technical leadNo SDR, no discovery gauntlet. The person on the call is the one who scopes the build.Book a call
Rapid Prototype Development
Prototypes that actually work.
Not Figma. Not a slide deck. Real, clickable, deployable software you can put in front of users this week — and learn from before you commit to building the full MVP.
Fixed-fee · 1–3 week sprints · You own the code · Deployed and shareable
Three different deliverables. Don't pay for the wrong one.
“Prototype” gets used to mean a Figma file, a half-built MVP, and everything between. We're more precise.
| Mockup | Prototype | MVP | |
|---|---|---|---|
| What it is | Visual design with click-through | Working software on real infra | Launchable product users pay for |
| Where it lives | Figma, InVision | A deployed URL | A real product with auth, billing |
| Typical timeline | 1–2 weeks | 1–3 weeks | 4–8 weeks |
| Best for | Validating a visual direction | Validating an idea in use | Validating revenue |
| Code reuse | None | Some — carries to MVP | All — built to scale |
Pick the prototype scope that matches your question.
Spark
1 week
- One user flow, fully clickable
- Up to 5–7 screens
- Frontend + mocked backend, deployed
Sprint
2 weeks
- 2–3 connected flows, 12–15 screens
- Frontend + light backend with real endpoints
- Realistic seeded data + login mock
Stretch
3 weeks
- 3–5 flows, 20+ screens
- Working backend with real persistence
- Mock auth + custom branding
Three valid outcomes from a prototype sprint.
→
Validate, then build the MVP
The prototype confirms the idea works. Some code carries forward. The MVP build is faster because the unknowns are gone.
→
Kill the idea, save the budget
The prototype reveals the idea doesn't work as you thought. You spent weeks on a prototype instead of months on the wrong MVP. A good outcome.
→
Pivot the scope, new prototype
The direction validates but the specifics don't. We re-scope and run a second short prototype.
Common questions.
Is a prototype the same as an MVP?
No. A prototype answers 'would this work?' — an MVP answers 'will people pay for this?' Prototypes are throwaway-tolerant; MVPs are built to scale.
Will I get the code?
Yes — full source in a repository you own, with day-one access.
Can the prototype scale?
No, by design. A prototype prioritizes speed of iteration over scale. If you need scale, you need an MVP.
How is this different from a Figma mockup?
A Figma mockup is a visual; a prototype is functional software. Users can click through, fill forms, see realistic data flow, and interact with the product.
Is the code throwaway?
Not necessarily. Sprint and Stretch packages often produce code that carries into the MVP build. Spark is more throwaway by design.
Can I show it to investors?
Yes. The Stretch package is built for that — custom branding, mock auth that survives sessions, realistic data.
Got an idea? Let's make it clickable.
A 20-minute call to scope the prototype. We'll tell you which package fits, what we'd build, and what you'd learn from the test.