Services · Mobile app development · AI recruitment tools
Codeeo handles AI recruitment software development Dallas employers and staffing firms can actually run at volume: candidate apps, screening that ranks applications against the real job, interview scheduling, recruiter dashboards and links into the applicant tracking system you already pay for. We design the AI so a recruiter reviews its suggestions, every decision leaves a record, and the tool can be audited against federal law and the rules of any other state you hire into.
North Texas hiring moves fast. Distribution centers, hospital systems and corporate headquarters all compete for the same people, and slow screening loses good candidates by the afternoon. Good software shortens that wait without handing the hiring decision to a model nobody can explain. Dallas teams also tend to recruit for other states from Texas, which makes rule handling part of the core design.
200+ companies across the US and the UAEFrom a first store to a listed developer
What the platform can include
A warehouse in south Dallas may need forty shift workers by Monday. A financial services team in Uptown may need one compliance analyst and a long shortlist. The same AI screening logic does not suit both, so we start by sorting your requisitions into the patterns you actually hire in.
High volume roles need fast mobile applications, knockout questions written by your team, instant scheduling and text reminders. Professional roles need résumé parsing that respects context, structured interview kits and recruiter notes that stay attached to the candidate. Most Dallas employers have both, so the platform carries two or three hiring modes with different screening depth and different human checkpoints. Every piece below can be switched on per requisition type, and every AI suggestion is shown to a recruiter with the reason behind it before anything reaches the candidate. Declines are never sent by the model alone; a recruiter confirms them, and the candidate receives a plain message rather than silence.
A short application that works on a phone with poor signal, in English or Spanish, with résumé upload optional for hourly roles. Candidates can save progress, return from a text link and see which shifts or locations they applied for. Accessibility checks follow WCAG so screen reader users and people applying with one hand on a bus can finish.
More finished applications from the people you most need to reach.
The model reads each application against the requirements your hiring manager approved for that requisition, not a generic profile of a good hire. It flags matches, gaps and unclear answers, and it never sees fields you exclude, such as age, photos or addresses used as a proxy for neighborhood.
Recruiters start with a sorted list and a reason for each position on it.
For logistics, retail and healthcare roles, candidates choose the sites and shifts they can actually reach. The software matches them to openings across your Dallas, Irving, Arlington or Fort Worth locations and holds a slot while the recruiter confirms.
Fewer no shows caused by a commute nobody checked.
Candidates book phone screens, video interviews or site visits against live recruiter calendars in Outlook or Google. Text and email reminders go out on your schedule, and a missed slot reopens automatically so the next applicant can take it.
Interview slots fill without a coordinator chasing every one.
One queue per recruiter, with AI suggestions, the evidence behind each, and buttons to advance, hold or decline. Overrides are recorded with a short reason, which gives you the data to spot when the model and your people disagree.
Humans make the call, and the record shows that they did.
We connect to Workday, iCIMS, Greenhouse, UKG, Bullhorn or the system you run, so candidates, stages and outcomes sync both ways. The new software adds screening and scheduling without forcing recruiters to log in to two places for the same requisition.
Your system of record stays the system of record.
Dashboards compare selection rates at each stage across the demographic groups candidates voluntarily disclose, using the four fifths comparison from the federal Uniform Guidelines as an early warning. Alerts reach your HR lead and counsel, not just the vendor.
Problems surface in a weekly report rather than in a charge.
If you use video or voice analysis, the software asks for consent before any capture, stores the template separately and deletes it on the timetable your counsel sets. Texas has its own biometric identifier statute, so we build the consent step in from the start.
Biometric features stay optional and documented.
For Dallas staffing firms, a portal where client managers review submitted candidates, request interviews and leave feedback, while your recruiters keep control of contact details and placement terms.
Clients see progress without emailing your desk for updates.
For salaried roles, the software generates an interview guide from the approved job requirements, with the same core questions for every candidate and a scoring rubric your hiring managers agree in advance. Interviewers record scores in the app, and the AI summarizes notes for the debrief without adding its own rating.
Consistent interviews that are easier to defend and compare.
Who this is for
The Dallas Fort Worth market mixes national headquarters, regional hospital networks, a large logistics corridor and hundreds of staffing agencies. Each brings a different hiring rhythm, a different appetite for automation and a different set of states it recruits in. These are the four situations we see most often, and each one changes what the first release should contain.
Companies that moved head offices to Dallas, Plano or Irving often hire for sites in California, New York or Illinois from a single Texas talent team. The software has to apply the right notice, consent and audit rules by the location of the job and the candidate, not by where the recruiter sits. We build that rule layer first, because adding it later means retesting every screen.
Jurisdiction rules are configuration, reviewed by your counsel.
Warehouses around the southern Dallas inland port and near DFW Airport hire in waves before peak season. Speed matters most: mobile apply, instant knockout questions, shift matching and same day interviews. The AI stays light here, mostly sorting and scheduling, so recruiters spend their time on calls rather than inbox triage. Seasonal surges also mean rehiring: the software can invite people who worked a previous peak, with their past site and shift preferences already filled in, so returning workers finish in minutes.
Agencies win when they send a strong shortlist first. We build ranking against client job orders, redeployment search across past placements and a client portal, connected to Bullhorn or your own back office. Recruiter overrides feed a review loop so the ranking improves on your desks, not on someone else's data.
Healthcare hiring in North Texas depends on license checks, credential expiry dates and shift availability. Screening reads license type and status as structured data, not guessed from résumé text, and the software routes every clinical candidate to a human reviewer. Background and license verification run through your existing vendors. Nurse managers get a short daily list of applicants who match open units and shift patterns.
Clinical hiring decisions always stay with people.
How we work together
Codeeo has no Dallas office. Our team of 80+ across Dubai, Riyadh and Karachi works remotely with Texas clients, and discovery, design reviews and demos all run by video call. The AI recruitment software developers Dallas clients work with day to day are named in the scope. Most clients begin with a fixed scope first release covering one hiring flow, then extend the platform on a monthly retainer. Larger employers sometimes add dedicated developers who sit inside their own HR technology team. Retainer work typically covers new requisition types, model reviews after hiring seasons and changes when a state adds a new rule. We have delivered 200+ projects across the UAE and the US, and we are rated 4.7 from 23 Google reviews.
A defined build with a deadline
We agree what the product has to do, write it down with a price and a date, and build exactly that. Changes are priced before they are made, not discovered on the invoice.
A product that keeps evolving
Named engineers who work your hours, join your standups and stay on the codebase. You direct the backlog; we own the quality of what ships.
Something live that needs looking after
A monthly block of hours for improvements, fixes and the small requests that otherwise wait months. Unused hours carry for a quarter.
Technology
We build candidate apps in React Native or Flutter, recruiter tools in React and Next.js, and services on Node.js or Python, hosted in your AWS or Azure tenant. Language models are called through providers you approve, with logging so you can see what the model was asked and what it returned.
01Mobile
02Data and cloud
03Marketing and tracking
It depends on how many hiring flows and integrations go into the first release.
A single high volume flow with mobile apply, screening, scheduling and one ATS connector is a much smaller build than a multi state platform with agency portals and bias dashboards. We agree the first release in discovery, write the review dates into the scope and show working software at every review. Integration access, legal review of the screening rules and the time your recruiters can give to testing usually set the pace more than coding does.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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