Engineers who take models to production and keep them there. LLM applications, RAG, vision and the MLOps underneath. Profiles within 24 hours.
Trusted by teams worldwide
Six AI specialisms, staffed by engineers who have shipped models into products rather than only into notebooks.
We screen for the gap between a demo and a product, alongside our AI development and data teams.
A measurable eval set before shipping, so quality is a number rather than a vibe.
Token spend and response time treated as product requirements from the start.
Retrieval grounding, refusal handling and fallbacks so failure is graceful.
Most of the work is the data, and our engineers expect that rather than resent it.
Inference that stays up, scales with demand and does not surprise you on cost.
Engineers who will tell you when a rules engine beats a model for your problem.
One call about your data, your use case and your quality bar tells you whether it is feasible, what it will cost to run and the team shape you need.
Get Your Feasibility CallFree · No obligation · Delivered within 48 hours
Three steps and about forty hours, rather than a hiring process measured in months.
We discuss your stack, backlog, seniority needs and working hours.
You get interview-ready profiles matched to the requirement within 24 hours.
You interview and choose, with a 15-day risk-free trial on every placement.
Onboarding into your tools, rituals and codebase, with our architect on hand.
Ongoing delivery with the flexibility to scale the team up or down.
Interview-ready candidates matched to your use case.
Quality measured against a real eval set, not demos.
LLM, RAG, ML, vision, NLP and MLOps.
Replace at no cost if the fit is wrong.
Real products, real users, real numbers, across health, mobility, delivery and education.
Mood tracking, guided sessions and personalised wellness plans in a warm, calming experience.
Live driver tracking, surge-aware fare estimation and multi-payment support in a fast, reliable app.
Live order tracking, smart dispatch and route optimisation that cut delivery times across 200+ restaurants.
Coach matching, personalised study plans and adaptive progress tracking for 10K+ students.
Six use cases where AI staffing needs differ in ways that matter.
Deflection that does not frustrate customers.
Extraction from messy real-world documents.
Models supporting clinical decisions.
Detection where false positives cost money.
Recommendations that lift real metrics.
Inspection and safety on the line.
“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
Field notes from real builds. No hype, just what worked and what didn't.
Retrieval decisions that decide answer quality.
Why a measurable eval set is the first thing to build.
Getting a model live before you buy the tooling.
Problems where rules beat machine learning outright.
Walk away from one call with a feasibility view, a team shape, a rate range and a start date. No pitch deck, no obligation.
Tell us the use case and what data you have. No sales pitch, just profiles that fit. Prefer email? Use our contact page.
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