AI & Machine Learning
Intelligent solutions that learn and adapt.
From predictive analytics to AI agents, we build production-grade AI systems that deliver measurable business impact — not just buzzwords.
Why leading companies choose us
What you get that a generic ai & machine learning vendor does not.
Production, not notebooks
A model that only runs on a data scientist's laptop has not shipped. We build the whole path.
Evaluation before deployment
A golden dataset and a scoring harness exist before anything reaches a user.
Honest about feasibility
Some problems do not have enough signal in the data. We would rather say so in week two.
Cost modelled up front
Inference cost per prediction is a design constraint, not something discovered on the first invoice.
Humans where it matters
Irreversible actions get a human gate regardless of how confident the model reports itself to be.
Monitored after launch
Drift detection and scheduled re-evaluation, because quality decays quietly otherwise.
How we build
AI & Machine Learning built on foundations that hold
The data floor first
Most projects fail on data access and labelling, not modelling. We deal with that before touching a model.
Baselines before complexity
A simple model and a rules baseline first, so we can prove the sophisticated version earns its cost.
Evaluation as a permanent system
Suites that keep running weekly, growing from real production failures rather than launch-day cases.
Explainability where required
In regulated settings every prediction carries the inputs and the reasoning behind it.
What you get
- AI agents & automation — custom outcome-targeted agents that watch, decide, and act, with humans in the loop where it matters
- Custom AI apps & chatbots — RAG-powered knowledge bots with hybrid search, reranking, and cited answers
- Predictive analytics & ML models for churn prediction, demand forecasting, anomaly detection, and quality scoring
- Computer vision — image classification, object detection, OCR, and document understanding pipelines
- Generative AI & content pipelines, plus AI strategy, governance, and team training workshops
Custom ai & machine learning for you
The capability most clients come to us for, and the work that surrounds it.
Our flagship capability
Machine learning development services
Predictive models that reach production and stay there — demand forecasting, anomaly detection, computer vision and scoring, with the data pipeline, evaluation harness and monitoring that keep them honest.
Key features
- Predictive and forecasting models
- Computer vision and defect detection
- Anomaly and fraud scoring
- Evaluation harness and drift monitoring
- Explainable outputs where regulation requires
01
Computer vision
Defect detection, quality inspection and document understanding, with confidence thresholds and human escalation.
02
Predictive analytics
Forecasting demand, churn and failure, delivered as a usable range rather than false precision.
03
Data engineering
The pipelines, feature stores and warehousing that any model depends on to work at all.
04
Model operations
Deployment, versioning, monitoring and scheduled retraining once the model is live.
How we work
Every stage, and what it produces
The same nine stages on every engagement. What changes is what each one has to answer for ai & machine learning.
Business evaluation
01The decision this is meant to improve, and what a better decision is worth in money.
Information gathering
02A hard look at the data: what exists, who owns it, how clean it is, how far back it goes.
Consultation
03A feasibility session where we say plainly whether the signal is there.
Designing the UI
04Interfaces designed so a prediction is actionable rather than just displayed.
User experience
05The human workflow around the model, including what happens when it is wrong.
Tech inspection
06An audit of your existing data platform before we propose adding to it.
Development
07A baseline first, then complexity only where it measurably beats the baseline.
QA and testing
08Evaluation against a held-out set, plus adversarial cases and cost-per-prediction checks.
Support and care
09Monitoring, retraining schedule, and a named owner for the evaluation suite.
Everything we hand over at the end is listed on the handoff page.
When this is the right fit
Straight answers on where this service earns its cost — and where it does not.
- Production-Grade Models — Battle-tested ML models with monitoring, drift detection, and automated retraining — not just notebooks.
- Responsible AI — Built-in bias detection, explainability, and governance aligned with NIST AI RMF and EU AI Act compliance.
- Full-Stack AI Engineering — From data pipeline to model serving to frontend — we build the entire stack, not just the model.
- Multi-Model Architecture — Orchestrate Claude, OpenAI, open-source models, and custom fine-tunes — pick the right model for each task.
- Measurable ROI — Every project starts with a business outcome metric. We measure what matters, not just model accuracy.
- Rapid Prototyping — Working proof-of-concept in 2-3 weeks. Validate ideas fast before committing to full production builds.
- Human-in-the-Loop — Smart escalation logic and confidence thresholds ensure humans stay in control where it matters.
- Observability Built In — Full telemetry — logged decisions, cost tracking, latency monitoring, and eval suites from day one.
Track record
- 15+
- Years shipping software
- Alian Software since 2010
- 84%
- Retainer renewal rate
- Clients who extend past the first term
- 4–8
- Weeks to first production ship
- Typical fixed-fee sprint
Sample builds
Shapes of work we ship most often in this pillar.
Intelligent document processing
Extract, classify, and route information from invoices, contracts, and forms — reducing manual data entry by 85% with human review for edge cases.
Product recommendation engine
Collaborative filtering + content-based hybrid model serving personalized recommendations — 23% increase in average order value.
Predictive demand forecasting
Time-series ML model trained on sales history, seasonality, and external signals — reducing overstock by 30% and stockouts by 45%.
Tech we reach for
Chosen per project. We will tell you when the boring option is the right one.
- Python / PyTorch / scikit-learn
- Anthropic Claude / OpenAI
- LangChain / LangGraph
- Hugging Face
- pgvector / Pinecone
- MLflow / Weights & Biases
- AWS SageMaker / Modal
Related projects
Work we have shipped in this discipline.
Predictive Maintenance Platform
ML-powered predictive maintenance system using LightGBM on SCADA/IoT sensor data with weekly automated retraining — reduced unplanned downtime by 31% in 90 days.
RAG Knowledge Assistant
Customer-facing RAG chatbot with hybrid search, reranking, and cited answers from 50K+ product documents — handling 80% of tier-1 support tickets autonomously.
Vision Quality Control
Computer vision defect detection pipeline using YOLO with active learning — achieving 97.3% accuracy on manufacturing line inspection with <200ms inference.
Industries we work with
We understand the constraints before we write the first line.
E-commerce & D2C
Storefronts, catalogue tooling, and the support layer around them.
B2B SaaS
Multi-tenant products, dashboards, and in-app AI features.
Manufacturing
Plant floor visibility, quality, and ERP-adjacent systems.
Healthcare
Clinical and back-office tooling under real compliance constraints.
Finance & fintech
Audit-traceable workflows where every decision has to be explainable.
Logistics
Routing, exception handling, and document-heavy operations.
Client reviews
What our clients are saying
Reviews from clients we have delivered for.
Got questions? We have answers.
- It depends on the problem. For LLM-powered features (summarization, extraction, Q&A), you can start with zero training data. For custom ML models, we need enough labeled examples — usually hundreds, not millions. We'll tell you honestly if your data is ready.
No obligation, no deck
Talk to a human about this
Tell us the problem. If ai & machine learning is not the right answer, we will say so and point you at what is.
24h
Typical reply time on weekdays
Other services
- AI Agents & AutomationWhen your business needs hands that don't sleep.
- Custom AI Apps & ChatbotsWhen your users need answers they can ask for.
- AI Strategy & EnablementWhen you need a plan before a build.
- Data & IntelligenceWhen your data is begging to be useful.
- Web Application DevelopmentCustom web applications that scale.
- Mobile App DevelopmentNative-fast mobile apps your users keep opening.
- Custom Software DevelopmentSoftware built around your business — not the other way around.
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- WordPress DevelopmentWordPress sites built to perform — not just publish.
- API Development & IntegrationAPIs that connect everything — fast, secure, reliable.
- UI/UX DesignDesign that users love — and businesses measure.