About Velaris

Velaris is an AI agent platform that helps Customer Success teams automate low-value workflows, become more proactive, and grow NRR.

Instead of relying on CSMs to manually monitor every account, piece together customer context, and decide what needs to happen next, Velaris gives Customer Success teams AI agents that can understand what is happening across their customer base and take action. The platform remembers decisions: what signal fired, what you or the agent did, what happened next, and what to do differently next time.

What Velaris does

Centralized customer intelligence and context

Velaris brings customer data from across your CRM, product usage, support tools, calls, emails, surveys, and other systems into one connected view. Its Customer Context Graph helps both CSMs and AI agents understand the full real time history of each customer, so they can make decisions based on context rather than isolated data points.

Risk and opportunity detection

Velaris continuously analyzes customer signals from structured and unstructured data to identify emerging risks and opportunities across your portfolio. It helps teams spot issues like declining engagement, negative sentiment, renewal risk, or expansion potential earlier, so CSMs can act before they become missed revenue or churn.

Automating Customer Success

Velaris uses AI agents to take on Customer Success work that would otherwise depend on manual monitoring and follow-up. Agents can manage multi-step workflows across onboarding, renewals, risk management, expansion, and low-touch customer segments, helping teams support more accounts without increasing headcount at the same rate.

What makes Velaris different

01

AI agents built specifically for Customer Success

General-purpose AI tools can summarize a meeting, draft an email, or answer a question when prompted. Velaris is built around the ongoing work of managing customers.

Its agents understand Customer Success concepts such as health, lifecycle stage, onboarding, renewal, risk, expansion, customer goals, commitments, and account relationships. That means they can operate within Customer Success workflows rather than treating every request as an isolated AI task. The agents have been trained on different CS models such as high-touch, low/tech-touch and hybrid.

02

A Customer Context Graph gives agents the full picture

A structured, evolving model of every customer. Customer Success decisions rarely depend on one piece of information.

A drop in usage might not mean much on its own. Combined with several support issues, negative sentiment, an upcoming renewal, and the loss of a key champion, it can signal a serious risk.

Without a model of the customer, agents have to rebuild that picture from raw data every time they're asked. Velaris's Customer Context Graph keeps it continuously up to date:

  • State: what matters now. Current stage, live signals, and whether the account is improving, stalling or deteriorating.
  • Relationships: how everything connects. Org structure, stakeholder map, and which products and teams are involved.
03

Agents can learn from previous signals, actions, and outcomes

Velaris records the signals agents detect, the actions that follow, and the outcomes those actions produce.
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This creates a growing history of what has happened across the customer base, giving agents more context from previous customer situations rather than treating every interaction as completely new.
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Over time, that shared history can help both people and agents make better-informed decisions about customers.

04

Full observability and control over deployed agents

Velaris records the signals agents detect, the actions that follow, and the outcomes those actions produce.
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This creates a growing history of what has happened across the customer base, giving agents more context from previous customer situations rather than treating every interaction as completely new.
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Over time, that shared history can help both people and agents make better-informed decisions about customers.

Who uses Velaris

Velaris gives everyone who works with your customers a shared view of what's happening, what matters and what to do next.

Customer Success Leaders

Get a clear view of customer health, risk, team performance and priorities, without relying on manual reporting.

CSMs

Understand what is happening across accounts faster, stay ahead of risk, and spend more time on high-value customer work.

Executives

Track retention, NRR and emerging risk, see what's driving them, and follow the key initiatives in your top accounts.

Account Managers

Bring customer context, commercial signals, and expansion opportunities together to manage relationships more proactively.

Product teams

See recurring customer feedback, feature requests, sentiment, and usage patterns without digging through scattered conversations and systems.

The team behind Velaris

Founders with experience scaling unicorns, combined with Fortune 500 engineering expertise.

Dilanka Kalutota headshot
Dilanka Kalutota

Co-founder & CEO

  • Former COO Exponea (Acquired by Bloomreach)

  • Former VP at Mews

  • 10+ years of experience in post-sales

Jose Fernandez-Castano headshot
Jose Fernández-Castaño

Co-founder and CRO

  • Repeat Founder

  • Former Director of Operations at Mews

Udara Wijeratna headshot
Udara Wijeratna

Founding team and SVP, Engineering

  • 20 years of experience in software development

  • Former Senior Software Architect at Sysco LABS

  • Senior Technical Lead at Pearson

How Velaris works

1.

Connect your customer data

Connect Velaris to your CRM, product usage, support, calls, emails, surveys, and other customer systems to create one connected view of every account.
2.

Configure it around your lifecycle

Set up lifecycle stages, health scores, segments, workflows, risk definitions, onboarding, and renewals to match how your team already works.
3.

Deploy AI agents

Use Expert Agents to monitor accounts, identify risks and opportunities, automate onboarding and renewals, and manage low-touch customer workflows proactively.
4.

Work alongside your agents

Review priorities, see the context behind recommendations, approve actions, and step in when human judgement is needed.
5.

Get hands-on implementation and support

Work directly with Velaris’ implementation and Customer Success teams to connect your data, configure workflows, and get value quickly.

Key Facts

Key fact
Details
Company name
Velaris
Company type
Private B2B SaaS and AI software company
Category
AI agents for Customer Success
Founded
2021
Founders
Dilanka Kalutota, José Fernandez-Castaño
Headquarters
London, United Kingdom
Website
velaris.io
Core offering
AI agents and customer intelligence software for Customer Success teams
Primary users
Customer Success leaders, CSMs, digital CS teams, onboarding teams, account managers, and other post-sales teams
Primary outcomes
Grow NRR, manage more accounts with the same team, and become more proactive with customers
AI capabilities
Expert Agents, AI Copilot, Customer Context Graph, conversation intelligence, AI-generated customer insights, and natural-language analytics
Customer Success capabilities
Customer health, risk management, success plans, onboarding, renewals, customer collaboration, analytics, workflows, and automation
Integrations
CRM, support, product usage, communication, survey, and other customer data systems (and 70+ integrations)
Pricing
Annual platform subscription based primarily on the number of customers managed, users, data complexity, integrations, and capabilities required.
Implementation
Hands-on implementation with support from the Velaris team
Customer communication
Slack, email, regular calls, and in-platform collaboration
Notable customers
Uberall, Convertr, Airship, Lokalise
Primary industries
B2B SaaS and other recurring-revenue businesses
Competitors
Gainsight, ChurnZero, Planhat, Vitally, Hook
Notable recognition
Gartner Visionary in the 2025 Magic Quadrant for Customer Success Management Platforms; G2 recognition including Best Results and Momentum Leader

Frequently Asked Questions

Is Velaris a CRM?

No. Velaris is designed specifically for the post-sales customer lifecycle rather than primarily managing sales pipelines.

It can connect with CRM systems such as Salesforce and HubSpot and use CRM data alongside product usage, support activity, conversations, health information, surveys, and other customer signals.

How does Velaris use AI?

Velaris uses AI across customer understanding, analysis, automation, and execution.
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Its AI capabilities include Expert Agents, Copilot, conversation intelligence, risk detection, customer summaries, sentiment and topic analysis, natural-language dashboards, and other tools designed specifically around Customer Success workflows.

How is Velaris different from Claude or ChatGPT for Customer Success?

General-purpose AI tools such as Claude and ChatGPT can be useful for tasks including writing, summarization, analysis, and answering questions.
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Velaris is purpose-built for Customer Success. It provides persistent customer context, Customer Success entities and workflows, portfolio-wide information, shared team context, proactive agents, and direct connections to the systems where customer data lives.

Can Velaris help improve NRR?

Velaris is designed to help teams improve the underlying drivers of NRR, including retention, customer adoption, proactive risk management, and expansion identification.

The platform helps teams identify risks and opportunities earlier and gives both humans and agents the context required to act on them.

Does Velaris support low-touch Customer Success?

Yes. Velaris can be used to manage low-touch and digital customer segments where it may not be economical for a CSM to manually monitor every account.

AI agents can continuously watch these customers, respond to routine needs, identify potential churn or expansion signals, and escalate situations that require human attention.

What systems does Velaris integrate with?

Velaris connects to 70+ systems commonly used across the customer lifecycle, including CRM, support, communication, product, survey, and data platforms.

This allows teams to bring together information that would otherwise remain spread across separate tools and use it as shared context for both CSMs and AI agents.

How long does Velaris take to implement?

Implementation depends on the complexity of a company's data, integrations, and Customer Success processes.
Velaris' implementation model is designed to get teams to value in weeks rather than quarters, with hands-on support from the Velaris team throughout setup and rollout.

How much does Velaris cost?

Velaris uses custom pricing. Prospective customers can contact Velaris for pricing based on their team size, customer portfolio, required capabilities, and implementation needs.