AXon AI · ML & Data Intelligence

Turn your history into foresight.

Predictive models, recommendation engines, NLP, vision and forecasting - built on data pipelines we engineer to be production-grade. Because 85% of enterprise AI stalls on data readiness, not models.

See models in production
FORECAST · DEMAND · Q3
94% conf.
Predicted
+18%
Churn risk
4.2%
MAPE
3.1%
90%
faster reporting
0%
Of AI stalls on data, not models
0%
Faster reporting cycles
0%
Forecast error on demand models
0+
Years engineering at scale
What we build

Models that earn their place - on data that's actually ready.

We build the pipeline and the model together, so predictions are accurate, explainable and deployed - not a notebook that never leaves the data team.

01
Predictive & prescriptive models

Forecast demand, revenue, churn and fraud - and recommend the action, not just the number.

02
Recommendation systems

Personalisation engines that lift conversion and retention - tuned to your catalog and behaviour.

03
NLP & NLU

Classification, extraction and understanding over text - turning documents and tickets into structured signal.

04
Computer vision

Classification, detection and segmentation - quality inspection, OCR and object detection in production.

05
Data pipelines & viz

Big-data processing and interactive dashboards - the foundation models need and leaders trust.

06
MLOps & deployment

MLflow, SageMaker, feature stores and drift detection - models that stay accurate after launch.

How we build it

From raw data to a model in production.

01
Data & readiness audit

We check whether your data can carry a model before anyone trains one.

02
Build the model

Feature engineering and training against a clear success metric.

03
Validate & explain

Backtested, explainable and stress-tested before it touches a decision.

04
Deploy & monitor

Served with drift detection - accuracy holds as the world shifts.

Why AXon

Three pillars behind every model we ship.

PILLAR 01
Business-first

A model ships only when it moves a number you care about - accuracy in service of a decision, not a leaderboard.

PILLAR 02
Architecture-first & scalable

MLOps-grade pipelines and serving - models that survive real volume and keep retraining.

PILLAR 03
Responsible & governed

Explainable predictions, bias checks and audit trails - decisions you can stand behind.

Proof in production
Edge CRM · predictive pipeline
Lead scoring & forecasting · sales

Predictive lead scoring and pipeline forecasting tell reps which deals will close and which need rescue - turning a CRM's history into next quarter's plan.

See the product
Operational intelligence
Real-time analytics · enterprise scale

Fragmented operations unified into a real-time intelligence layer - report load times cut from hours to seconds, decisions made on live data not last week's export.

Built on a secure, scalable foundation
AWS SageMakerAzure MLGoogle VertexNVIDIADatabricksMLflowSnowflakePyTorchAWS SageMakerAzure MLGoogle VertexNVIDIADatabricksMLflowSnowflakePyTorchAWS SageMakerAzure MLGoogle VertexNVIDIADatabricksMLflowSnowflakePyTorchAWS SageMakerAzure MLGoogle VertexNVIDIADatabricksMLflowSnowflakePyTorchAWS SageMakerAzure MLGoogle VertexNVIDIADatabricksMLflowSnowflakePyTorchAWS SageMakerAzure MLGoogle VertexNVIDIADatabricksMLflowSnowflakePyTorch

Sitting on data you're not learning from?

Start with a readiness check - we'll tell you what your data can predict before you invest a rupee in models.