Your one-stop AI partner for business transformation — custom ML models, LLM applications, autonomous agents and computer vision, from first prototype to production scale.
Trusted by teams worldwide
Navigating AI transformation takes specialised expertise. Six service lines cover every critical aspect of enterprise AI, from first strategy workshop to production operations.
Six engineering disciplines behind every solution we ship, and the tools we use for each.
Custom LLM applications with RAG pipelines, fine-tuning, evaluation harnesses and prompt infrastructure, grounded in your private data.
Multi-step reasoning agents that use tools, call APIs and operate inside your CRM/ERP, with planning loops and observability baked in.
Image classification, object detection, document OCR and defect detection on manufacturing lines. Trained on your data, deployed on GPU or edge.
Time-series forecasting, churn prediction, fraud detection and lead scoring. Classical ML where it beats LLMs, and we tell you which is which.
Real-time voice agents with sub-second latency. Multilingual ASR + TTS, IVR replacement and sentiment-aware support bots.
Model registries, evaluation pipelines, drift monitoring, cost optimisation and on-prem deployment. The 80% that decides if AI ships.
A short technical audit shows exactly where your data, systems and governance stand — so your first AI investment ships instead of stalling.
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A proven engineering process that removes the science-project risk from AI adoption.
Identify high-ROI use cases, audit data readiness and define success metrics in a 2-day workshop.
Assess, clean and prepare your data. Build feature pipelines and ground-truth datasets.
Train, fine-tune and evaluate models or LLM apps. Iterate with human-in-the-loop feedback.
Deploy via secure APIs or event-driven architecture into your CRM, ERP, app or platform.
Continuous monitoring, drift detection, retraining pipelines and performance dashboards.
SaaS client: AI chatbot resolves 6 of 10 tickets with no human in the loop.
Voice AI receptionist answers in seconds, down from a 4-minute human queue.
Document-processing AI replaced 11 FTEs of manual extraction at a logistics firm.
Edge vision model running on shop-floor cameras at a manufacturing plant.
Real applications, real users, real numbers, across healthcare, mobility, delivery and education.
AI mood tracking, personalised CBT recommendations and clinician-reviewed wellness plans powered by custom NLP.
Real-time dispatch engine with surge prediction, smart driver allocation and ML-based ETA estimation.
Smart dispatch and route optimisation that cut delivery times by 40% across 200+ partner restaurants.
ML-based coach-student matching, personalised study plans and adaptive progress tracking for 10K+ students.
Claude
Gemini 2.0
Llama 3.3
Mistral
DeepSeek
AWS Bedrock
Azure OpenAI
GCP Vertex AI
LangChain
LlamaIndex
HuggingFace
PyTorch
TensorFlow
MLflow
Pinecone
Every bullet is something we've actually shipped, not a sales pitch.
HIPAA-ready AI that schedules, triages and surfaces clinical insight.
Explainable, auditable AI tuned for regulated environments.
Personalised commerce that adapts to every shopper in real time.
Vision and predictive ML deployed at the edge, on the floor.
Copilots and adaptive learning on a production LLM stack.
AI-driven lead engagement and document automation at volume.
“Implementing an ERP across our sugar manufacturing operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
“Appther built our student competition app and portal 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.”
Field notes from real builds. No hype, just what worked and what didn't.
A practical framework for deciding when to ground a model in your data versus retraining it outright.
Beyond the demo: tool use, guardrails, observability and the failure modes nobody shows you.
Latency, cost and reliability tradeoffs we weigh before choosing where a vision model runs.
How we help leadership teams cut through the noise and commit budget to the right AI bets.
Walk away from one call with a prioritised list of AI use cases for your business, a realistic budget range and a 2–4 week PoC plan. No pitch deck, no obligation.
Tell us what you're trying to solve. No sales pitch, just a straight answer on scope, timeline and cost.
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