A customer data platform that puts every visit, order and message on one timeline, next to the household, company or store the customer is linked to. Your marketers build audiences from that picture, and your AI reads the same one.
Brands that connect their data with us
A customer data platform (CDP) keeps one profile per customer. Customer Context Platform also keeps what surrounds that customer: the company they work for, the household they share, the orders they placed, and whatever else fits your business. Your teams and your AI use all of it, across the platform.
Relationships: A person can be linked to a company or to any other object you define.
Your own data model: Define the objects that fit your business, such as people, companies and messages.
Starter templates: Install common objects from a template, then adapt them to your business.
Everything a customer does lands on one record that your people and your AI can both act on. Here is how.
Context
Model people, companies, purchases and messages, and the links between them. Define the objects that fit your business, for consumers or for businesses.
Identity
Web visits, purchases and email clicks match to one person. Profiles from a phone and a desktop merge when they share a cookie ID. Each profile also shows the consents granted.
Predictions
CXP Predictions put a customer label, preference tags, a next purchase date and recommended products on the profile. Campaigns and HALO AI Agents read the same record.
Shared record
People and AI agents read and write the same live record through one API. A marketer’s journey and an agent’s resolution both run on identical, up-to-date data.
One platform
Email sends, opens and clicks appear on the profile as they happen, with no extra connector. Messaging, payments and support act on events where the data already lives.
Open
A website tracker adds visitor behavior to the profiles. Open APIs and prebuilt connectors move data in and out of your CRM, shop, ERP, warehouse and ad tools.
Pick a link between customers and companies. Filter on a company property, such as size. Save it as a segment, for example "people at companies with more than 50 employees" and use it in your emails or send it to your ad platforms.
By default, your data is stored in the Netherlands and never leaves the EU, and you control who can access it. HALO runs on that data to serve your customers, anonymized to regulation and never used to train language models.
Every layer is independently audited and certified to European standards, including ISO 42001 for responsible AI.
ISO 42001 certification for responsible AI, the international standard for AI management.
ISO 27001 for information security and ISO 27017 for cloud security, certified for both.
ISO 27018 for cloud privacy, ISO 27701 for privacy management and GDPR for data protection.
Compliant with PCI DSS, the international standard for keeping payment card data secure.
ISO 9001 for quality, ISO 20000 for IT service and ISO 14001 for environmental management.
Marketing, service and commerce read the same live profile. What one team learns about a customer is there for the next team, and for your AI, the moment it happens. Context grows from your own customers, and no competitor can copy that.
Build a segment from the links around customers, then use it in email or send it to your ad platforms. One workflow can send each customer a different message, because the profile already knows their intent and history.
A service agent sees the WhatsApp thread and the order before the first reply, so customers never tell their story twice. HALO AI Agents resolve routine questions and your team spends its time on the customers who need a person.
Payments, tickets and contracts update the same profile. Your shop team sees what a customer bought, paid and signed, and the next offer fits the person. A click is a maybe; a sale is a fact.
A stitched-together stack can sync data. It can't build understanding. Here, every conversation, payment and resolution adds to the same context, so the next interaction starts where the last one left off. It is built from your own customers, so it grows sharper every day. Channels and AI, everyone has those. What you know about your customer is the part no one can copy.
Connect, Activate, Convert and Support all run on Customer Context Platform, the shared memory that builds context for every customer and predicts what comes next.
HALO AI Agents act on that context across channels and teams.
Purchases, email activity and website visits land on the same profile, next to the company and other linked objects.
CXP Predictions add a customer label, preferences and a next purchase date to the profile.
HALO AI Agents read the same profile, so each conversation starts with what you already know.
See how Customer Context Platform fits your stack, your channels and your AI. In one conversation, we show what changes for your customers, your team and your numbers.
Book a walk-through and see it in your own set-up.
The Customer Context Platform connects all the data from every customer interaction (conversation, website interaction, payment, channel, preferences) into one live context. Your teams and AI read and act on that context, so every interaction starts with everything you already know about the customer.
Yes, but it goes further. It does what a customer data platform does: it unifies data from every channel into one profile per customer, like a CDP. On top of that, it keeps the context live, predicts what a customer does next and lets your teams and AI act on it directly. It also keeps the relationships around the customer (company, household, products, store, history) up to date, predicts what a customer does next and lets your teams and AI act on it, so you don't copy data to other tools.
Templates make it easy to start. They install common objects for you, so you don’t build the data structure by hand, and you tailor them to your business later. A fuller setup is part of onboarding.
A tracker on your website stores visits and other interactions in the platform, next to purchases and email activity, and links them to the person’s profile.
The platform matches a person on identifiers such as email address and the web tracking ID. When someone opens your site on a phone and on a desktop and the same cookie ID is set, the two profiles merge into one.
Each profile shows what the customer has agreed to receive, so you can check before you send.
CXP Predictions adds fields to each profile: a customer label such as Loyal, preference tags for category and style, an abandoned basket, a next purchase date and recommended products for different moments, such as after a purchase, on the homepage or in a newsletter. Your teams and your AI read these fields like any other property.
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