AI · Notifications · Customer Intelligence

Smarter messages.
Deeper insights.

Help your customer know themselves better — and you'll know them better, and serve them better.

THE UNCOMFORTABLE TRUTH

85% of organisations increased AI investment. Business impact is not keeping pace.

Most AI deployments lack genuine customer understanding — and it shows in the metrics that matter most: engagement, NPS, loyalty. We explain why, and what it actually takes to close the gap.

Read the analysis →
01

0.5 party data makes customers truly understandable — beyond what transactions alone can reveal.

02

Privacy by design is not a constraint. It's what enables fast, trusted delivery.

03

Push notifications and quick messaging are the most underrated channels in CX.

04

Gamified micro-interactions drive genuine, lasting customer engagement.

05

Not every AI task needs the most sophisticated — or expensive — model.

06

Agentic AI needs Customer Mindset Understanding. First-party data alone is not enough.

07

The foundation of brilliant agentic AI starts with knowing the customer, not just the transaction.

What it does

...from notification to conversation

01 ——

The agentic AI foundation

Every interaction builds richer customer context — the behavioural and sentiment data that tomorrow's agentic AI needs to act autonomously and accurately. Start paving the way now.

02 ——

AI enrichment

Ordinary push notifications become personalised tips, warnings and heads-up — generated by AI in real time, tailored to each customer's context and history.

03 ——

Micro-feedback

Action buttons in every message capture how the customer feels and reacts. No surveys, no friction — just natural, in-the-moment signals that flow back automatically.

04 ——

Customer intelligence

Feedback patterns surface spending habits, consumption behaviour and sentiment trends — giving your team actionable intelligence at scale, message by message.

The name

inly

From Old English: inwardly, from within. To look inside oneself.

tips

AI-crafted advice, warnings, and heads-up — delivered in the moment.

Together: helping your customer look within — so you understand them, and serve them, like never before.

Who we are

Built by people from the industry

Juan Mateu

Juan Mateu

Founder · Many Hats

Engineer & economist by training, entrepreneur by choice — one exit, some scars. Two decades shipping innovative software in CX: messaging, CDP and AI products across fintech and telco — Gartner Cool Vendor 2020 / GSMA Mobile Innovation Award 2011. Building inlytips to simplify and amplify AI in CX across a myriad of verticals.

How we work

Co-creation, not just a licence

Start the conversation →

01 ——

Diagnose

We start from the outcomes you need, not a feature list. Which customers, which signals, which verticals — and what success looks like for you.

02 ——

Design

We select and configure composable modules for your specific context: enrichment, micro-feedback, behavioural intelligence, agentic AI foundation.

03 ——

Co-create

An ongoing collaboration. As the data compounds and understanding deepens, so does the value. This is not a one-time deployment — it is a compounding advantage.

More from the blog

AI investment is rising. Meaningful business impact is not keeping pace.
AIStrategyCXBusinessImpactAgenticAI

AI investment is rising. Meaningful business impact is not keeping pace.

85% of organisations increased AI spending last year. Engagement, NPS and loyalty — the metrics that matter before revenue — are barely moving. The problem is not the technology. It is what the technology is being fed.

PAP needs mindset context. Here is where it comes from.
AgenticAIPAPCustomerContextPreAgenticAI

PAP needs mindset context. Here is where it comes from.

JPMorgan, Citi and Bank of America are all blocking AI agents from customer accounts right now. The issue is not permission. It is that permission alone is not enough to make an agent trustworthy. Sierra's PAP defines the handshake. Mindset context is what makes it worth having.

Wealth management has a between-meetings problem
WealthPSD3CXPreAgenticAI

Wealth management has a between-meetings problem

Between quarterly reviews, wealth clients are on their own. Markets move, portfolios drift, and nobody reaches out. The institution that changes this becomes the one clients trust most, even for assets it does not manage.

The next PFM doesn't wait for you to open the app
PFMGamificationPreAgenticAICX

The next PFM doesn't wait for you to open the app

Personal finance managers have gotten smarter at answering questions. They are still waiting for you to ask. A passive, gamified layer that reaches you through notifications you already get is the next step.

BusinessModelSaaS 2.0CoCreation

Beyond SaaS: why the next wave of AI value is co-created, not licensed

Modules, outcomes, and long-term co-creation: a new AI business model. The Palantir model for everyone — co-creating AI value at any scale.

AgenticAICustomerUnderstandingDataPreAgenticAIDigitalEmpathy

From behavioural signals to customer mindset: the missing layer for agentic AI

Transaction data tells an agent what a customer did. Mindset data tells it who they are. Without that second layer, even the most capable AI agents are making decisions in the dark.

Get in touch

Interested in a demo or just a conversation? We reply within one business day.