Product

Enterprise-grade, from day one

We built Neuralk for data scientists and ML engineers working inside real organizations — where governance matters, infrastructure is complex, and data volumes are no joke.

Silhouette of a man standing on a grid-like surface facing a bright vertical beam of light with large clouds in the sky.
Product
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Out of the box

Pre-trained on rich tabular data, Neuralk's models are ready to work on your dataset without building a pipeline from scratch.

On-prem or on the cloud

Deploy where your data lives. Neuralk can run on cloud, in your preferred environment, or fully on-premises — no data leaves your infrastructure without your say-so.

Built for scale

Our model architectures were defined with size in mind: tens of millions of rows, thousands of features are no problem for our models.

Platform

Results you can trust,
at the speed you need

From messy datasets to production-ready models. Fully automated, fully auditable, and built to scale with your team.

Fast
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00
h
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m
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Time to predict

Neuralk

Accelerated innovation cycles

Business stakeholders want results; so do you. Spend time on the decisions and actions that actually matter. Go from raw data to a production-ready model in a fraction of the usual time.

Results
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Q4 Revenue

$16,245

+12%

Growth

98% Confidence

Day

Build results, not pipelines

Leverage intelligent feature engineering powered by our industry-specific expertise. Get the most signal out of your dataset, without having to generate features manually yourself.

Reliable
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Client CRM Dataset

Cleaned

·

17.3M Rows

Messy or incomplete data won’t slow you

Multiple strategies for handling incomplete or ‘dirty’ data are encoded in our model and agent. Don’t let the reality of data science slow you down.

Agents
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Client CRM Dataset

Cleaned

·

17.3M Rows

Agent

Analysing output · 39%

Faster iteration with agentic help

Our agentic layer analyses our models’ output, and can use it to generate new features in an iterative loop — autonomously. What used to take weeks now runs in minutes, and every step is fully documented and historicized, for compliance and rollback.

Category

One model.
Every prediction task.

Seldon covers the fundamental problems in enterprise data-science. It is purpose-built, deeply optimized for its task, and designed to slot into your existing stack.

Classification

Know what category it belongs to.

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www.neuralk.ai

Customer churn · Up to date

CUSTOMER
LOAN_AMOUNT
CREDIT_SCORE
DEFAULT_PROB.
DECISION
Sophie Laurent
€18,500
721
Very low
(0.06)
Approve
James Moreau
€9,000
648
Medium
(0.41)
Review
Lena Bauer
€32,000
580
High
(0.74)
Decline
Martin Köhler
€5,200
758
Very low
(0.03)
Approve
Amelia Chen
€14,000
612
Medium
(0.52)
Review
Noah Williams
€22,000
539
Very high
(0.89)
Email offer

Built to assign the right label to any observation, at scale.

Whether you're scoring risk, predicting churn, qualifying leads, or detecting anomalies, Dawn handles complex multi-feature classification problems with high accuracy and interpretable outputs.

  • Customer churn prediction

  • Credit risk scoring and loan default classification

  • Fraud detection

  • Lead scoring and opportunity qualification

  • Patient triage and medical condition classification

Regression

Know what
the number will be.

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Map interface showing a listing for a modern cozy apartment in Paris with 1,427 sq. ft., priced at $520,000 with a predicted 6% price growth over 12 months to $551,200.

For all your regression needs

Designed for continuous prediction tasks where precision matters. From pricing engines to demand forecasting to yield optimization, Seldon delivers reliable numerical outputs backed by confidence intervals and explainability features your business stakeholders will actually trust.

  • Dynamic pricing and revenue optimization

  • Demand and sales volume forecasting

  • Real estate or asset valuation

  • Energy consumption prediction

  • Logistics cost estimation

Timeseries

Know what comes next.

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Store footfall · Paris Marais

Daily visitors · 7-day window

Time series graph showing data from January 2013 to January 2020 with a blue shaded area representing values peaking near 3k in 2016, dipping around 2017, and rising sharply again after 2018 with projections reaching 4k, 2.8k, and 1.8k marked.

Purpose-built for sequential, time-dependent data.

It captures long-range temporal dependencies that traditional models miss, making it the right tool for any prediction problem where when is as important as what. Dusk handles irregular intervals, multiple seasonalities, and multivariate inputs without the usual headaches.

  • Inventory planning and replenishment

  • Financial market signal detection

  • Predictive maintenance and equipment failure forecasting

  • Store traffic and footfall prediction

  • KPI monitoring and anomaly detection over time