DEV.co
Memphis, TN · Custom Software + AI

Custom software for Memphis — built the AI-native way.

We pair senior engineers with an AI-accelerated delivery model to ship custom software for Memphis's logistics, supply-chain, and B2B operators — without the fragile output that gives AI a bad name.

Senior-only engineering · AI-accelerated delivery · you own 100% of the code

AI changed the economics of custom software. We rebuilt our process around it.

Memphis is the country's largest logistics and supply-chain market — anchored by FedEx's global hub, a deep transportation and warehousing ecosystem, and a growing B2B SaaS and fintech scene from downtown out through East Memphis. Senior hires are six figures, months out, and picked over by FedEx, ServiceMaster, AutoZone, and the venture-backed challengers in the Mid-South. AI changes the math, but only when senior people own the parts AI gets wrong.

On a Memphis logistics, supply-chain, or B2B build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part that punishes a logistics operator: late or out-of-order shipment events, time-zone bugs in nightly cutoffs, idempotency on a tracking webhook that retries, and integration with WMS and TMS systems AI invents instead of reads. Raw AI output ships those silently.

We build for Memphis operators — shippers and 3PLs digitizing operations, fleet and dispatch platforms, fintech for the trucking and logistics economy, B2B SaaS shipping into Mid-South buyers, and modernization of decades-old WMS and TMS stacks. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.

Show, don't tell

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.

delivery.tstypescript
const draft = await ai.generate(spec)          // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: tracking webhook double-processes a shipment event on retry → idempotency key + replay test// ✓ merged: ordered-event reconstruction for late-arriving WMS messages, audit-logged delivery exception handling
Every change
AI velocity + human judgment
tests + security review built in
you own 100% of the result

On a Memphis logistics or supply-chain build, the failure modes are non-idempotent tracking webhooks, out-of-order WMS events, and silent exception drops. Senior review catches them before a missed delivery or a chargeback does.

What we build for Memphis companies.

Logistics

Supply-chain & ops platforms

Routing, dispatch, inventory, and visibility tools that replace clipboards and spreadsheets.

Product

SaaS platforms

Multi-tenant products with auth, billing, and dashboards — MVP to scale.

Fintech

Fintech & payments platforms

Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.

Modernize

Modernization

Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.

AI

AI applications

Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.

Internal

Internal tools & copilots

Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.

Senior, on-shore, AI-accelerated

A senior team that moves at AI speed.

You work with senior engineers in Central Time who own architecture, supply-chain data realities, and quality — fitting into a Memphis logistics-tech rhythm, an East Memphis B2B standup, or a downtown SaaS PR review — not a junior pool with raw AI output bolted on.

Memphis's senior engineering pool is concentrated around FedEx, AutoZone, ServiceMaster, and a smaller venture-backed bench — three-to-six months to hire and quietly poached by remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need a downtown office.

Talk to an engineer

Traditional Memphis dev shop vs. AI-native.

Traditional AgencyDEV.co (AI-native)
Time to working softwareMonthsDays to weeks
CostFull senior rates, all hoursLower — AI removes the rote work
Code qualityGood (if senior)Same bar — every change reviewed
AI riskContained by senior review + tests
You own the codeUsuallyAlways — full repo on day one
Scales with youSlow to staff upFlex up or down monthly
2–3×
faster than traditional development
1 wk
to a working prototype
100%
code ownership at handoff
30 days
post-launch support included

Common questions from Memphis teams.

Do you work with Memphis companies?
Yes — we serve Memphis, Nashville, and St. Louis companies with senior, on-shore engineers in Central Time. Most collaboration is remote-first, with on-site available for kickoffs and key milestones.
Do you work with WMS, TMS, and shipment-tracking systems?
Yes. We've integrated with SAP, Oracle, Manhattan, Blue Yonder, and a long list of bespoke WMS and TMS systems. We treat shipment events the way they should be treated: ordered, replayable, and idempotent — not as a CRUD endpoint.
Can you build for high-volume, low-latency logistics operations?
Yes. We architect for idempotency, exactly-once intent, and replay-safe webhooks from day one — and we load-test for peak (Black Friday, holiday rush), not the happy path. We've built software that handles millions of events a day without losing one.
Is AI-built software production-ready?
Yes — when a senior engineer reviews every output, adds tests, and hardens it. The horror stories come from shipping raw AI code unsupervised. We don't, and we support what we ship.
Will we own the code?
100%, from day one. We deliver to a repository you control — no proprietary platform, no lock-in.
How fast can we start?
Usually within days. A short scoping call defines the build, the timeline, and a fixed quote.
Can you work with our existing team?
Yes — we augment in-house teams, review their work, and set standards, or run the build end to end. We flex to how you work.

Let's build it — Memphis.

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.