Why Brainfish | Brainfish

Most AI support tools look great on the surface - but under the hood, they fall short.

No high-quality knowledge
generation.

No accurate contextual
understanding.

Doesn’t provide no-code
deployment + scalabity.

Little seamless
tool integrations.

Limited visibility into customer insights.

No real-time issue
detection.

No continuous learning
and improvement.

No ongoing accuracy
without manual upkeep.

Brainfish is built to handle the deep complexity required to truly scale customer support and deliver meaningful product insights.

The Brainfish Solution

Ambient AI That Works in the Background, Until It’s Needed

Brainfish delivers real-time, contextual support that feels invisible - but makes a major impact. No search bars. No chatbots. Just smart assistance, built into the experience.

Ambient AI Support Agent

Traditional Support Chatbots

Ada/Intercom/Zendesk

Building In-House

Custom Development

Customer Effort Score

Reduces effort through contextual help

Creates friction with search barriers

Customer Effort Score

Depends on implementation quality

Customer Effort Score

Ticket Volume vs Team Capacity

Prevents issues before tickets form

Reactive deflection only

Ticket Volume vs Team Capacity

Depends on implementation quality

Ticket Volume vs Team Capacity

Documentation Maintenance Burden

Zero manual updates required

Constant content management overhead

Documentation Maintenance Burden

High ongoing engineering maintenance

Documentation Maintenance Burden

First Contact Resolution Rate

Contextual understanding improves FCR

Limited by keyword matching capabilities

First Contact Resolution Rate

Possible but complex to achieve

First Contact Resolution Rate

Time to First Value

Minutes to deploy and start learning

Weeks of setup and training required

Time to First Value

6-12 months development timeline

Time to First Value

Cost Per Contact

Scales without adding headcount

Requires ongoing content team resources

Cost Per Contact

High upfront and maintenance costs

Cost Per Contact

Traditional Support Chatbots

Ada / Intercom / Zendesk

Traditional Support Chatbots

Ada/Intercom/Zendesk

Building In-House

Custom Development

Customer Effort Score

Reduces effort through contextual help

Creates friction with search barriers

Depends on implementation quality

Customer Effort Score

Ticket Volume vs Team Capacity

Prevents issues before tickets form

Ticket Volume vs Team Capacity

Reactive deflection only

Depends on implementation quality

Ticket Volume vs Team Capacity

Documentation Maintenance Burden

Zero manual updates required

Documentation Maintenance Burden

Constant content management overhead

High ongoing engineering maintenance

Documentation Maintenance Burden

First Contact Resolution Rate

Contextual understanding improves FCR

First Contact Resolution Rate

Limited by keyword matching capabilities

Possible but complex to achieve

First Contact Resolution Rate

Time to First Value

Minutes to deploy and start learning

Weeks of setup and training required

6-12 months development timeline

Time to First Value

Cost Per Contact

Scales without adding headcount

Requires ongoing content team resources

High upfront and maintenance costs

Cost Per Contact

Building In-House

Custom Development

Traditional Support Chatbots

Ada/Intercom/Zendesk

Building In-House

Custom Development

Customer Effort Score

Reduces effort through contextual help

Creates friction with search barriers

Customer Effort Score

Depends on implementation quality

Ticket Volume vs Team Capacity

Prevents issues before tickets form

Ticket Volume vs Team Capacity

Reactive deflection only

Ticket Volume vs Team Capacity

Requires dedicated engineering resources

Documentation Maintenance Burden

Zero manual updates required

Documentation Maintenance Burden

Constant content management overhead

Documentation Maintenance Burden

High ongoing engineering maintenance

First Contact Resolution Rate

Contextual understanding improves FCR

First Contact Resolution Rate

Limited by keyword matching capabilities

First Contact Resolution Rate

Possible but complex to achieve

Time to First Value

Minutes to deploy and start learning

Weeks of setup and training required

Time to First Value

6-12 months development timeline

Cost Per Contact

Scales without adding headcount

Requires ongoing content team resources

Cost Per Contact

High upfront and maintenance costs

Success Stories

Real results. Faster growth. Trusted by teams that move fast.

Modern SaaS companies trust Brainfish to eliminate wasted effort and deliver support that scales.

From onboarding to everyday product use, Brainfish reduces repetitive work, empowers users to self-serve, and drives measurable improvements to the bottom line.

“Brainfish freed our Customer Care team from handling routine queries so they could focus on solving the complex challenges our community faces that truly required human expertise.”

Elisha Anderton

COO

153.33%

Increase in self-service resolution rates

23%

Growth in user base

Read Case Study

"All the other options needed us to spend a lot of time onboarding, time we already didn’t have! Brainfish let us leverage our existing knowledge base to increase CX efficiency with near-zero upfront effort."

Yaniv Bernstein

COO & Co-Founder

20%

Weekly reduction in support hours

275.17%

Return on investment

Read Case Study

"We're super impressed with the level of support you have shown us to date, and the product's efficacy after just a few months of working together."

Omer Khan

Head of Client Experience

37%

Boosted NPS (Net Promoter Score)

92%

Self-serve queries resolved

Read Case Study

Smarter Support

Every Product Moment Gets Easier With Brainfish

Whether it’s empowering users with instant answers, resolving issues before they escalate, or equipping your team with AI agents, Brainfish makes every interaction smoother - and every team more effective.