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 roomsCustom software for Dallas — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Dallas–Fort Worth operators — financial services, telecom, logistics, and enterprise SaaS — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Dallas–Fort Worth anchors one of the country's largest enterprise SaaS, financial-services, and telecom markets, with deep B2B and data-platform engineering demand from Plano to Las Colinas to downtown Dallas. Senior hires are six figures, months out, and almost always picked over by AT&T, Capital One, Toyota North America, and the rotation of well-funded SaaS companies. AI changes the math, but only when senior people own the parts AI gets wrong.
On a DFW enterprise SaaS, fintech, or telecom build, AI is genuinely useful for the repetitive 70% — schemas, scaffolding, integration glue, dashboards. The 30% that punishes you in production is everything an enterprise procurement, audit, or telecom-grade operations team will catch: SSO edge cases, batch jobs that explode at month-end, decades-old integration contracts the AI invents instead of reading, and SLA tail latencies that look fine in dev. Raw AI output ships those silently.
We build for DFW operators — fintech platforms scaling for compliance, telecom and infrastructure teams upgrading internal tools, logistics and supply-chain platforms covering the I-35 corridor, and modernization projects pulling decades-old enterprise stacks onto something maintainable. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.
AI writes the first draft. A senior engineer signs off.
Every change runs through review for security, tests, and architecture before it ships — that review is the product.
const draft = await ai.generate(spec) // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: month-end batch job assumes 30 days → fixed + leap-year + DST + load test// ✓ merged: SSO group-claim handling for nested AD groups, explicit timeout + retry on legacy SOAP integrationOn a DFW enterprise build, the failure modes are batch-job edge cases, SSO claim assumptions, and SLA tail latency on legacy integrations. Senior review catches them before procurement or month-end does.
What we build for Dallas companies.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
Supply-chain & ops platforms
Routing, dispatch, inventory, and visibility tools that replace clipboards and spreadsheets.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
A senior team that moves at AI speed.
You work with senior engineers in Central Time who own architecture, enterprise-grade quality, and integration with your existing stack — fitting into a Plano team's PR rhythm, a Las Colinas standup, or a downtown Dallas review — not a junior pool with raw AI output bolted on.
DFW's senior engineering bench is large but concentrated at a handful of marquee employers and federal contractors — three-to-six months to hire and increasingly poached by remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't require an office in Legacy West.
Talk to an engineerTraditional Dallas dev shop vs. AI-native.
| Traditional Agency | DEV.co (AI-native) | |
|---|---|---|
| Time to working software | Months | Days to weeks |
| Cost | Full senior rates, all hours | Lower — AI removes the rote work |
| Code quality | Good (if senior) | Same bar — every change reviewed |
| AI risk | — | Contained by senior review + tests |
| You own the code | Usually | Always — full repo on day one |
| Scales with you | Slow to staff up | Flex up or down monthly |
Common questions from Dallas teams.
Do you work with Dallas companies?
Can you take over and modernize a legacy enterprise system?
Can you integrate with our SSO, ERP, and CRM?
Is AI-built software production-ready?
Will we own the code?
How fast can we start?
Can you work with our existing team?
More from DEV.co
Dallas teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Dallas.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and tell you whether AI-native is the right fit for your build.