Agentic engineering team
Build AI-native.
Ship in weeks.
Evolve forever.
DevClaw is Smart Edge's agentic engineering team. We build custom AI-native software for small and mid-sized businesses — faster, at a fraction of traditional cost, and engineered to grow as AI does. Our own products prove it: SmartPath, SortIQ, and MyDeed.ai are running in production.
Most software built today will need to be rebuilt in 3 years.
Traditional software development wasn't designed for an AI-first world. It's slow (6–18 months to ship), expensive, and — most critically — it produces architecture that treats AI as an add-on. A feature. Something bolted on after the core system is already built.
That approach is already obsolete. The businesses winning right now aren't the ones with the biggest dev budgets. They're the ones with the right foundation — systems designed from the first line of code to think, integrate, and evolve with AI.
The window to build that foundation is open. It will not stay open.
One team. One philosophy. AI-native from day one.
DevClaw is the agentic engineering team inside Smart Edge Technologies. We build AI-native software — custom systems for SMBs that would cost enterprise budgets to build through traditional agencies, shipped in weeks instead of months, on architecture designed to grow as AI grows.
Every product we build is sovereign. Open-standard. No vendor lock-in. When the next generation of AI models arrives — and it will — your product integrates it. You don't rebuild it.
This is not theoretical. We've done it. Three times. With live clients, in production.
Faster
AI-native development compresses the build cycle — 75%+ faster delivery, so you get working software in weeks, not months.
At a fraction of the cost
Less time per build means a fraction of what custom software used to cost. Every build is scoped to the problem — contact us for pricing.
Higher quality
Senior engineers oversee every build, and we assemble from production-proven components — the same ones running in our own products.
From idea to deployed product. In weeks, not months.
Three products. Live and running in production.
Sustainability & Circular Textiles
SortIQ
Price it right. Know your numbers. SortIQ turns every sort into data — items graded and captured hands-free through smart glasses. Price with confidence, see your real production metrics, and build the digital record your operation never had. SB 707 reporting comes built in.
Retail & Nonprofit Operations
SmartPath
Built for your operation. Without the enterprise price tag. Small-business systems are rigid. Enterprise WMS takes a year and a budget to match. SmartPath sits in between — simple, complete warehouse management tailored to how you actually run, production-ready out of the box for Goodwill operations and live across 22 Goodwill Suncoast locations.
Real Estate
MyDeed.ai
Never miss a closing. Grow capacity without growing headcount. MyDeed tracks every Schedule B requirement, chases every payoff and estoppel, and audits the settlement statement line by line. AI handles the volume and catches what people miss — your processors focus on judgment, and your licensed team signs off on every file.
This isn't a feature. It's an architecture decision you make once.
The difference between AI-native and AI-added is not about which tools you use. It's about how the system is built at its foundation.
AI-native means
- Your product doesn't need to be retrofitted when the next AI model launches
- Every layer — data, logic, integrations, outputs — is designed to speak AI from day one
- Updates are fast and affordable because the architecture expects them
- You don't pay for your vendor's decisions every time AI evolves
AI-added means
- An AI feature layer sitting on top of architecture that wasn't built for it
- Integration debt from day one
- Expensive re-engagement every time something needs to update
- Rebuilding in 2–3 years when the gap becomes impossible to bridge
The companies that will lead their markets in 5 years are building AI-native now. DevClaw makes that accessible to SMBs — not just enterprise teams with enterprise-sized dev budgets.
DevClaw vs. traditional development.
| Traditional Dev Agency | DevClaw | |
|---|---|---|
| Time to market | 6–18 months | 6–12 weeks |
| Build cost | High — large up-front budget | A fraction of traditional |
| AI integration | Bolted on after launch | Native from day one |
| Update cost | High — re-engagement every time | Low — architecture built for it |
| Vendor lock-in | High — proprietary stack | Zero — open standards |
| Evolves with AI | No — requires rebuild | Yes — by design |
| SMB accessible | Rarely | Always |
Built for founders and operators who can't afford to move slowly.
- You have a product idea and need a technical partner who will build it right — not a dev agency that will bill you for 14 months
- You're a domain expert who sees a clear AI opportunity in your industry and wants to own the product that captures it
- You're an SMB operator who needs custom software built at a cost that makes sense for your stage
- You want a product that gets better as AI gets better — not one you have to rebuild in 3 years
- You're serving U.S. or LATAM markets and want a partner who understands both
Not sure custom software is the right fit? Book a call and we’ll tell you straight.
Have a problem off-the-shelf software doesn’t solve? Let’s talk.
Every DevClaw build starts with a discovery conversation. We'll assess your idea, show you what the build looks like, and give you a clear timeline before you commit to anything. No pitch deck. No generic proposals. A real conversation about what it takes to build your product right.
See Our Work → Case Studies
Frequently asked questions
How long does a DevClaw build take?
Most products go from discovery to deployed in 6–12 weeks. Complex products with multiple integrations or data pipelines may take longer — we'll scope that precisely in the discovery phase.
How much does it cost to build with DevClaw?
Every build is scoped to the problem — contact us for pricing. DevClaw builds at a fraction of traditional agency cost, and we don't start building until you've seen and approved the full scope.
What makes a product "AI-native"?
An AI-native product is built from the ground up with AI integration as a core architectural assumption — not added afterward. That means every layer of the system (data, logic, integrations, outputs) is designed to work with AI models natively, and to absorb new AI capabilities without requiring a rebuild.
Do I need a technical background to work with DevClaw?
No. DevClaw is designed for domain experts and operators — people who know their industry deeply and have a clear product vision. We handle the technical architecture. You bring the market knowledge.
What happens after the product is launched?
DevClaw products are built to evolve — that's the point. Post-launch, we offer ongoing support, feature development, and AI integration updates as capabilities advance. You're not left with a delivered product and a disconnected vendor.