AI for decisions that matter.
Train, version, and deploy decision-making models that perform at lightning speed — all without the engineering overhead. Our end-to-end logic-based AI platform makes it effortless to build forecasting and decision models that are fast, explainable, compute efficient, and ready to plug into your business intelligence stack. No AI engineering team required.
Speed wins. Insight drives impact. And while business intelligence has evolved, the engines beneath many decision platforms haven’t. These legacy engines are heavy, obscure, and reqiure expensive compute resources. As data volumes grow and speed becomes everything, outdated machine learning slows decisions to a crawl or, worse, stops them before they start. The result? Decision drop-off, missed moments, and underused insight.
Power in performance.
New-generation decision AI lifts KPIs by 11–30% — all thanks to faster answers, clearer signals, and logic you can trust.
Decide fast, win faster.
Success follows speed. Decision cycles under an hour boost outcomes by over 3x — because business waits for no one.
Lost in the lag.
One in four high-value decisions disappears in the noise — overwhelmed by slow models and unclear outcomes.
Friction kills follow-through.
DI usage crashes by up to 80% when reports are delayed or costly. Fast AI models maintain decision velocity.
A feeling of abandonment.
Less than a quarter of decision-makers use the insights they’re given. Interpretable AI explains what matters.
The world is moving faster than ever. Your decisions should keep up.
The best decision intelligence systems are only as effective as the models which power them. Legacy AI architectures are too heavy, too opaque, and too expensive to serve the speed and clarity modern decision-making demands. Literal Labs offers something better. Our logic-based AI architecture trains models which run lean, think sharp, are explainable, and speak the language of business.
Forecasts like clockwork.
Delivers actionable insights in as little as 0.07 seconds. Ideal for real-time or high-frequency decision-making environments.
Brains, not brawn.
Models run using an average of just 5.2MB RAM per inference, with no GPU. Designed for high-impact performance on low-power processors.
Sharper than a crystal ball.
Achieves ±2% accuracy versus equivalent neural networks while consuming a fraction of the compute.
Smarts without the spend.
Slash energy use by up to 52x versus neural networks. No accelerators, no servers — just logic that runs lean and scales wide.
Always on. Even off the grid.
Decisions can be made anywhere — on microcontrollers, servers, or secure air-gapped systems. No cloud nor signal needed; just data with which to make a decision.
Clarity at every click.
Understand exactly how and why your models decide. Logic-based AI makes reasoning traceable — perfect for users, auditors, and regulators.
Built for custom business.
Train models using your custom datasets and domain knowledge. Tailored intelligence reflects the real-world problems your customers need to solve.
Local needs stay local.
Process sensitive data securely on-device. No external transfer, no exposure; ideal for regulated industries and air-gapped deployments.
Train once. Deploy anytime.
Train lightweight, seasonal models yoour customer can reuse year-round. Use decision cycles that match the rhythm of your business.
Literal Labs’ Model Development and Training Tools integrate seamlessly with existing data sources, enabling users to create custom, fast, low-energy, and explainable AI models using our logic and Tsetlin machine architecture. It’s optimised for ideal for time series, structured, and event-based data in decision-making systems.
Want to explore how Literal Labs’ logic-based AI can bring speed, accuracy, and explainability to your decision intelligence platform? Enter your details below and a member of our team will be in touch to provide you with more information.
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