Data & Intelligence
When your data is begging to be useful.
Predictive ML, computer vision, and generative content pipelines. Turn the data you already have into decisions, alerts, and downstream products.
How we build
Data & Intelligence built on foundations that hold
What you get
- Predictive models (churn, demand, downtime, quality) using the right tool — classical ML or LLMs, not whatever's trendy
- Computer vision pipelines for quality control, document understanding, and physical-world automation
- Generative content pipelines — image, video, voice — wired into your publishing workflow
- Data engineering glue: dbt, Airflow, Dagster — whichever fits your stack
- Eval, monitoring, retraining cadence — models that stay accurate after week one
When this is the right fit
Straight answers on where this service earns its cost — and where it does not.
- You have data sitting in warehouses no one queries
- Your QC team is the throughput bottleneck
- Your content team is the throughput bottleneck
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.
Predictive maintenance for machine fleets
LightGBM + classical ML on SCADA/IoT telemetry, retrained weekly, surfacing alerts to ops before downtime happens.
Vision QC for production lines
YOLO-based defect detection with active-learning loops. Routes uncertain cases to inspectors instead of guessing.
End-to-end content pipeline
Idea generation → script → voiceover → thumbnails → publishing → repurposing. With humans approving at the 3 spots that matter.
Tech we reach for
Chosen per project. We will tell you when the boring option is the right one.
- scikit-learn
- XGBoost / LightGBM
- YOLO
- OpenCV
- ElevenLabs / Runway
- dbt / Airflow / Dagster
- Modal / Replicate
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.
Related case studies
Multi-Agent System for 24/7 Manufacturing Plant
Six specialized agents watching production, maintenance, quality, inventory, energy, and shift handoffs — coordinating through a shared event bus, alerting humans via WhatsApp.
YouTube Channel Automation Pipeline
An end-to-end content pipeline orchestrated in n8n — AI does the boring 80%, humans do the 20% that defines the brand.
Got questions? We have answers.
- No, but you'll save weeks if you have one. We work with what you have — flat files, Postgres tables, S3 dumps — and tell you honestly when a data engineering pass needs to happen first.
No obligation, no deck
Talk to a human about this
Tell us the problem. If data & intelligence is not the right answer, we will say so and point you at what is.
24h
Typical reply time on weekdays
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