AI & LLM Systems
Retrieval, agents and model integrations wired into real products, with evals that keep them honest.
DevLane designs and ships AI-native software — from LLM-powered features to the platforms they run on.
A logistics client on how the delivery-tracking system we built together turned costly shipping errors into a process they can trust.
Retrieval, agents and model integrations wired into real products, with evals that keep them honest.
Type-safe web apps on Next.js and React, built for speed today and maintainability for years.
Infrastructure, pipelines and APIs that scale quietly in the background.
Interfaces and component libraries that keep every screen consistent as the product grows.
A clear path from first call to launch and beyond — with something concrete in your hands at every step.
We dig into your goals, users and constraints, and agree on what really matters.
Features, architecture and milestones mapped into a realistic roadmap.
UX flows and UI designed, prototyped and validated before any code is written.
Short sprints with regular demos, so you see working software early and often.
QA, performance checks and a smooth release to production.
Monitoring, fixes and new features as your product and users grow.
Real-time freight tracking and dispatch for a trucking network — live routes, AI-predicted ETAs and load status in one dashboard.
A real-time freight platform that gives dispatchers, drivers and shippers one shared view of every truck on the road.
Dispatch ran on phone calls and spreadsheets. Nobody could see where a load was, so ETAs were guesses and every delay set off a round of calls.
Last-mile parcel delivery for customers and couriers — live doorstep ETAs, optimized stop routes and photo proof of delivery.
A last-mile delivery service that keeps customers informed to the minute and helps couriers finish their routes faster.
Customers only knew their parcel was “out for delivery”. Missed deliveries and “where is my package?” calls piled up, and couriers planned routes from memory.
Operations ERP for a home-helper service — bookings, AI helper matching and dispatch, billing and payroll in one system.
An operations ERP that runs a home-helper service end to end — from booking and matching to billing and payroll.
Bookings, helper schedules, invoices and payroll lived in separate tools. Staff matched helpers by hand and spent days reconciling hours at month-end.
A careers site and applicant tracking system — from job post to signed offer, with AI résumé screening built in.
A careers site and applicant tracking system that takes a company from job post to signed offer in one place.
Job posts were scattered across job boards, applications arrived by email and the hiring team tracked candidates in a shared spreadsheet. Strong applicants slipped through, and nobody knew where each hire stood.