Intelligence,connected.
Sentient SDK by Axinity
Connect what happens across the web to what happens next in your business. Sentient brings perception, context and decision-making into your own products and workflows.
Bring web signals together with your internal systems, cameras, audio, text and sensors. Use one intelligence module on its own, or connect several through an ontology shaped around your business.
What changes when your signals connect?
Bring external, business and physical context together to support the next decision.
Connected contextOne module or a connected system. Your data. Your domain.
See the bigger picture.
Place, language, behaviour and time belong in the same picture. Explore how Sentient brings signals from the wider world together with the customers, assets and activity inside your business.
Follow the relationship from a regional signal to the entities and decisions it affects.
Connected contextMeaning across languages.
Connect topics and intent across markets. Bring multilingual web content into the same context as your documents and customer conversations.
Find the right moment.
The same event means something different at a different time. Read a weekly pattern, choose a window and connect it to the activity behind it.
Connect this window to its source events, relevant entities and operational context.
Your data. Your modules.
Analyse a camera feed without bringing in the web. Work with text without building an audio pipeline. Or combine external signals, internal records and physical-world observations in one domain model. The starting point is your business question.
Video & cameras
- What goes in
- Camera feeds, recorded video, frames and scenes.
- What becomes usable
- Objects, actions, scene context and events represented as structured information.
Understand activity in a physical space, then relate an observed event to the asset or process it belongs to.
Objects, actions, scene context and events represented as structured information.
Context is the connection.
An ontology defines the things your business cares about and how they relate. A camera event can belong to an asset. An asset participates in a process. A process has a history. Sentient connects that context instead of leaving each observation in a separate feed.
Use a domain ontology independently, or connect it with the other parts of Sentient. The concepts and relationships follow your use case.
Connect a physical observation to the equipment, process, place and history that give it meaning.
Meaning, made comparable.
Sentient represents content, entities and behavioural patterns mathematically. Vector operations make it possible to compare them, discover groups and spot changes across many characteristics at once.
Find what belongs together.
Compare a query, item or pattern with related representations. This supports semantic search, content matching and product or audience fit beyond shared keywords.
Decisions at every scale.
The same connected intelligence, applied at a different scale. Explore how the question changes while the context stays connected.
Make the individual offer relevant.
Connect audience, catalogue, pricing and performance data to guide product recommendations, dynamic prices and how an offer is presented.
Discuss your use caseWhat should change in this offer?
Close the decision loop.
Sentient connects planning, prediction, execution and follow-through. Guide the decisions that need your judgement and define where the system can act autonomously.
Give the objective a direction.
Turn a business question into a strategy, using the connected context of the ontology.
Autonomous where allowed. Guided where wanted. The scope and controls are defined with your integration.
Inside your systems.
Use a perception engine, a domain ontology or the complete decision loop. Embed the selected capabilities into your product, ERP, data stack or internal tool. Combine web data with internal and sensor data only where the workflow calls for it.
Engineered beneath the interface.
Streaming pipelines, schedulers, inference and storage systems carry the intelligence. Deep system mechanics are part of the architecture, from signal capture to execution and observation.
Start with one decision.
You bring the workflow. Together, we identify the signals, the desired outcome and the right integration boundary.
Discuss your use caseDefine the question
Choose the decision, the people it serves and what a useful result looks like.
Map the context
Identify data sources, existing systems, access requirements and practical constraints.
Scope the integration
Agree on a focused use case, available capabilities and how the outcome will be evaluated.
A closer look.
Do I have to use the entire SDK?
No. Sentient is modular. Use video, audio, text or sensor analysis independently, work with a domain ontology, or combine capabilities. External web data is optional when your use case only needs internal or physical-world data.
Is Sentient limited to web data or commerce?
No. Web intelligence and commerce are applications of the SDK. Sentient also works with internal business data, camera and video analysis, audio, documents, sensors and other analytical domains. The sources and ontology follow your business question.
What does a shared ontology mean?
It is a connected model of entities, behaviour and events. A product, a creator, a place or a trend can be understood through its relationships, across platforms and data sources.
Who controls the decisions?
Sentient supports guided and autonomous decision loops. The actions, permissions and approval boundaries need to be defined for your integration, so you decide where the system can act and where your team stays involved.
Can I try the SDK or see pricing?
Start with a project enquiry. We can discuss the relevant capabilities, access, integration scope and commercial terms for your use case. This page does not offer a self-service SDK download.
What’s your next move?
Tell us what you want to understand or automate. We’ll use that as the starting point for a technical conversation.
What we’ll discuss
- Your use case and the signals that matter
- Where intelligence fits into your existing stack
- A practical scope for the next step