Upgrading to a paid BizCrush plan takes only a few steps.

Here is how to upgrade in just a few clicks.

1. Log in to Your BizCrush Account

Start by signing in from the BizCrush homepage. You’ll need to be logged in to access your billing dashboard.

2. Open the Payment & Billing Page

Once you’re in, head to the Payment & Billing section. This is where you can view your current plan and manage upgrades.

3. View Available Plans

On the Billing page, you’ll see a button to explore available plans. Click View Plans to continue.

4. Select Your Paid Plan

Choose the plan that best fits your needs. Click the plan you’d like to upgrade to.

5. Complete Your Payment Through Stripe

When you select a paid plan, you’ll be redirected to a secure Stripe payment page. Follow the steps to enter your billing details and finalize your subscription.

That’s it!

Once payment is complete, your account switches to the new plan immediately.

Important: Switching from Mobile?

If you previously subscribed via the Apple App Store or Google Play Store, you must cancel that subscription first to avoid duplicate charges.

1. Cancel your subscription in the App Store or Play Store.

2. Wait for your current billing cycle to end and your account to return to the Free Plan.

3. Once your account is free, follow the steps above to upgrade via the web.

Need more help?

Contact us at business@bizcrush.ai

BizCrush’s Real-Time Subtitle PIP (Picture-in-Picture) Overlay lets you keep live captions (and translation) visible while you work in any app—slides, docs, browser tabs, or online meetings.

Here's a short video showing how to use real-time subtitles.

Or here's a simple visual to get you started.

1. Install the BizCrush Desktop App

PIP subtitles are a desktop-only feature. If you haven't already, head to our website to download the version for your OS.

2. Open the Real-Time Script Panel

Start a meeting and open your live transcript panel to set things up.

3. Set Your Languages

Choose your spoken language and the language you want subtitles translated into.

4. Open Subtitle Menu

Next, open the subtitle menu from the script panel’s top-right area.

5. Customize Your Overlay Settings

The dropdown lets you choose display mode, text size, and how many lines appear.

6. Turn On PIP Subtitles

Once you enable overlay mode, subtitles appear instantly in a floating window.

7. Move the Subtitle Window Anywhere

Drag the overlay to wherever it’s most comfortable on your screen.

8. Use It While Presenting or Multitasking

Your subtitles stay visible on top of slides, browsers, or any app.

Great for presenters, trainers, and meetings.

9. Turn Off Anytime

Turn off the overlay window when you’re done.

Need more help?

Contact us at business@bizcrush.ai

Explore More updates

We’re making BizCrush smarter, faster and more connected every week.

See everything new → Change log

CES moves fast.

booth chats, hallway intros, and partner meetings — great conversations happen, then disappear.

BizCrush is built for this exact environment.

It captures real-world conversations, translates them live, and turns them into clear summary and instant follow-ups.

So no insight is lost.

This is 2-minute setup guide.

Your CES Workflow (short version)

1. Start a meeting room for each conversation (booth chat, partner meeting, quick intro).

2. Record the conversation. Add context keywords or upload a document, so summaries stay relevant.

3. Turn on live translation if needed.

4. Generate a follow-up email instantly and refine it with Ask AI.

That’s it.

Step 1: Install and Log In

Download BizCrush from your App store/Play store

Log in using your Google or Apple account.

Step 2: Capture Every Conversation

Tap the purple record button to start.

Meeting international partners? Tap the 🌐 or open Language Settings in the side menu to enable live translation.

Tips

• Add the BizCrush widget to your home screen for one-tap recording—perfect for spontaneous booth chats.

(Just make sure microphone access is enabled.)

Step 3: Send Follow-Ups Instantly

When the conversation ends, BizCrush automatically

• Organizes your notes

• Generates a summary

• Extracts action items

Tap Follow-up Email to create a ready-to-send draft based on the discussion.

Want to adjust tone or focus?

Use Ask AI

Try prompts like

• "Make it more professional"

• "Mention dinner tonight"

• "Focus on our Q3 partnership"

Learn more about customizing follow-up emails using Ask AI.

Optional: Teach BizCrush Your Context (Highly recommended for CES)

You can customize BizCrush in Meeting Settings.

1. Contextual Keywords

   • Add brand or product terms (e.g., "BizCrush","Sales manager") so they are transcribed correctly every time—useful for booths.

2. Voice Enrollment (30 seconds)

   1. Record a short voice sample so BizCrush can identify speakers accurately in multi-speaker conversations.

CES 2026 Quick Checklist

1. Install BizCrush and log in.

2. Enable microphone access.

3. Turn on multi-language translation mode if needed.

4. Send customized follow-ups immediately.

5. (Optional) Add keywords or PDFs for better summaries.

Ready for CES 2026?

Make every conversation count.

Turn connections into opportunities!

This guide covers just the basics of BizCrush.

Explore more advanced features to get even more out of BizCrush.

Want to use BizCrush for free during CES 2026?

Email us at founders@bizcursh.ai

We are offering free CES access to the first 50 people.

Turn meeting summaries into emails you’d actually send

A good follow-up shouldn’t take 20 minutes to rewrite.

With Ask AI, you can regenerate BizCrush’s auto-generated follow-up emails using simple instructions — tone change, added context, or next steps.

Here’s how it works

Step 1: Open the Follow-Up Email from your meeting

After the meeting, tap Follow-up Email.

In the Private tab, you’ll see a Follow-up Email Suggestion card.

Tap View Details to open the email editor.

💡 Tip: BizCrush uses your meeting summary to craft a relevant first draft automatically.

Step 2: Review the initial draft (Auto-generated)

BizCrush generates a complete email, including:

• Recipients

• Subject line

• Email Body (editable)

• Quick Copy buttons for easy sharing

This draft is designed to be usable.

Step 3: Request changes with Ask AI

At the bottom of the editor, tap Request changes

Type a short instruction, for example:

• “Make it more welcoming.”

• “Add a brief recap + next steps”

• “Make it shorter or more direct.”

• “Rewrite the opening paragraph.”

• “Add context about our partnership goals”

Tap the Send (➤) icon to regenerate instantly.

Step 4: See your revised version

Ask AI applies your instruction and produces a new version, improving:

• tone (friendlier / more confident / more formal)

• clarity and structure

• context and relevance.

Both the subject and body update automatically.

To compare versions, open Version History:

• The original Auto-generated draft

• Rach Ask AI revision (labeled by your request)

You can iterate freely without losing earlier drafts.

Step 5: Choose the best version and send it

Back on the meeting page, you’ll see multiple Follow-up Email versions.

Open the one you like best, then copy or send it using your email app.

Pro Tips

• Be specific: Add 2 bullet next steps” works better than “make it better.”

• Include context when needed (the org, project name, or decision point)

• Example Ask AI prompts:

  • “Confident but not salesy’

  • “Turn the recap into bullet points.”

  • “Mention the demo we discussed.”

  • “Add context about timeline and ownership.”

  • “Include a CTA for scheduling a follow-up.”

TD; LR

1. Open your meeting → Follow-up Email → View Details

2. Review the Auto-generated draft

3. Tap Request changes → type instruction → send (➤)

4. Compare drafts in Version History

5. Choose the best version and send it

Try it now.

Get cleaner summaries when meetings use niche terms.

Product names, acronyms, internal project names — generic summaries miss these keywords.

Custom Keyword for Context lets you define meeting-specific keywords, so BizCrush produces topic-specific summaries and insights.

Here’s how it works 👇

Step 1: Open the Side Menu → Manage Keywords

From the meeting, tap ☰ (top-right), then select Manage Keywords.

You can do this before or during a meeting.

Step 2: Choose how to add context (PDF upload or URL)

Add Context in two ways.

• Upload PDF File (deck, spec, agenda, brief)

• Enter URL (direct download links only)

Step 3: Add a document (Let BizCrush extract keywords)

When you upload a PDF, BizCrush automatically extracts relevant keywords.

Using a URL?

• Paste a direct download link (cloud preview links may fail)

Step 4: Review and refine

Extracted keywords appear as “Input Chips.”

• Delete noise terms

• Keep only what matters

• Or Clear All and start fresh

Step 5: Add a custom keyword manually

Have a specific term in mind?

• Tap Enter keyword

• Add project name, acronym, internal jargon.

For examples, Hubspot, NetSuite, Deepfilter, PRD

Step 6: Confirm

Tap Confirm in the top-right corner

BizCrush now uses these keywords to generate more accurate, context-aware summaries

Pro Tips

• Prefer proper nouns over generic words. (e.g., “HubSpot,” “SOC 2,” “RFP,” “Series A,” “NetSuite”).

• 5–15 keywords beat a long list.

• If summaries feel off, remove noisy keywords (or Clear All) and retry.

• Update keywords between client meetings for best results.

TL; DR

1. ☰ Menu → Manage Keywords

2. Add context via Upload PDF File /URL manual entry.

3. Review keywords → Confirm

Want to try this out?

Add custom keywords to your next meeting and see the difference.

The Challenge: Why In-person Conversations Are Still a Blind Spot

Last November at the Nomura Innovation Center and Plug and Play Tech Center, our CEO, Taemin Kwak, shared an insight about the current state of real-world AI:

Legacy speech recognition can capture words, but it can’t understand the nuance of conversation AI.

Digital interactions are indexed, searchable, and instantly reusable.

In-person AI has lagged behind. Cafés, conference floors, and client meetings are the spaces where ideas spark and deals take shape, yet they've largely remained outside the reach of traditional meeting tools. The data from these interactions often vanish into the noise the moment the meeting ends.

Real-world conversation is messy: containing overlapping voices, shifting tones, and rapid context changes. Machines today hear the words but lose the meaning—and with that, opportunities slip away.

BizCrush exists to close that gap using advanced speech intelligence.

Why We Built This

We believe AI shouldn’t replace conversation—it should be human-centered AI that helps people remember, utilize, and act on their discussions.

Our goal is simple:

Turn every in-person interaction into structured, actionable data without disrupting the moment.

To do that, we built the Ambient AI Stack.

The Solution: The Ambient AI Stack

A four-layer system modeled after how humans naturally listen:

1. Capture – Not just audio. We capture rhythm, pauses and tonal shifts.

2. Identify – High accuracy speaker diarization that separates voices and tracks how each speaker changes over time.

3. Understand – Intent, emotion, risks — the meaning behind the words.

4. Act – Follow-ups generated instantly. CRM syncs handled automatically.

This stack transforms unstructured, real-world conversation into structured intelligence that teams can use.

Inside the Listening Engine

At the center is our Listening Engine, built for real environments where perfect audio doesn’t exist.

Early benchmarks:

• 93% speaker accuracy in multi-speaker and noisy environments.

• 25% fewer errors than standard transcription models.

All processing is encrypted end to end, with a clear roadmap toward full on-device computation for for speed, privacy, and enterprise-grade security.

Understanding Human Context

Real communication is never just words.

BizCrush analyzes tone, sentiment, and conversational flow to understand what actually matters—agreements, blockers, risks, and next steps.

Picture this human-centered AI in action:

• A founder meets an investor – BizCrush extracts commitments and drafts follow-up notes automatically.

• A recruiter interviews a candidate – Notes, insights, and summaries sync directly to the hiring system.

• A panel discussion happens in three languages – BizCrush separates voices, translates, and summarizes in minutes.

Conversations finally become reusable knowledge.

Where We’re Going Next

BizCrush is evolving from a note-taker into an integrated, real-time communication partner.

By embedding ambient intelligence directly into real-world conversations, we reduce friction and strengthen relationships.

The path forward is not bigger models. It’s smarter memory — personalized and contextual and tied to real human connections. but about creating deeper, more personalized memory.

Let’s Build This Future Together

If you are a developer, researcher, or enterprise team building the next generation of human-centered AI interfaces, let’s connect.

📩 founders@bizcrush.ai

BizCrush is building ambient AI that understands how people communicate and gives you the ability to act on what really happened in the room.

Why We Built BizCrush: AI That Understands Who Actually Said What

Enterprise sales doesn’t fail because summaries are messy. It fails because teams don’t know who said the critical sentences.

Every week, sales and CSM teams at large companies sit through hybrid meetings with 6–10 people: sales, CSM, measurement, creative, engineering, and VP-level decision-makers.

The room is chaotic—half in person, half remote, different mics, overlapping speakers.

One sentence from the VP can change budgets, timelines, or the entire direction of a campaign.

AI doesn't understand hierarchy — it treats the VP and the intern exactly the same.

This is the root problem.

Most AI tools summarize content. Enterprise teams operate on hierarchy, ownership, and accountability. That gap is why AI never worked for sales. Until now.

The Problem We Saw

Over the past two years, every large organization has tested dozens of AI note-taking tools. But inside enterprise sales, something predictable kept happening:

• summaries were technically correct but strategically useless

• important comments disappeared into generic paragraphs

• no tool understood the difference between a VP and a coordinator

• follow-ups were superficial and had to be rewritten

• CRM updates still required manual cleanup

• hybrid audio completely broke diarization models

AI wasn’t removing work. It was adding more of it. Sales teams were drowning in information but starving for context.

The Insight

Enterprise sales doesn’t need “meeting notes.”

Enterprise sales needs:

• speaker-level accuracy

• executive-weighted decisions

• action items tied to owners

• nuance, tone, hesitation, and intent

• CRM updates that reflect the actual flow of a deal

If AI can’t understand who said what, it can’t support a sales organization.

This sounds simple but It is not.

• Hybrid environments are the hardest possible setting for speaker diarization.

• VP-level comments are the shortest but most important signals.

• Action items change priority depending on the speaker’s authority.

• Teams need outputs they can forward to clients without rewriting.

  
  

So we are building BizCrush.

What We Built

BizCrush is the first AI meeting agent optimized for enterprise sales reality, not general productivity.

Here’s what makes it different:

1. Speaker-accurate hybrid diarization

• Offline voices.

• Remote voices.

• Overlap.

• Cross-talk.

• Different mics.

We built BizCrush that don’t collapse in the environments where sales teams actually operate.

2. Executive-weighted intelligence

A VP’s six-second sentence matters more than eight minutes of talking from the rest of the room. BizCrush knows who said it — and highlights it instantly.

3. Action items assigned by speaker, not topic

Sales teams run on ownership. BizCrush tracks “who owns what” instead of generic bullet points.

4. Speaker-based follow-up emails

Follow-ups become fast, accurate, and client-ready—because they’re grounded in speaker-level understanding, not a blob of text.

5. CRM-ready outputs

No more rewriting. No more realignment.
Just structured data that drops directly into HubSpot.

BizCrush doesn’t just transcribe meetings. It understands the room.

Why Now

Hybrid meetings became standard. AI summarization tools exploded.
None of them solved the real problem: context, hierarchy, accountability.

Meanwhile:

• sales cycles are getting longer

• decision-makers join more calls

• teams run weekly recurrences with dozens of micro-decisions

• accuracy matters more than ever

  
  

The Result

Teams using BizCrush now finish a one-hour call with:

• zero lost executive comments

• clear speaker-based decisions

• reliable action items

• CRM updates already drafted

• follow-ups that take under five minutes

Instead of “AI that summarizes,” BizCrush delivers AI that preserves trust and prevents revenue loss. Enterprise sales isn’t drowning because of too much information.
It’s drowning because existing tools flatten the information that actually matters.

If your team lives in hybrid meetings, BizCrush is for you.

We built BizCrush for the people who own revenue — the ones who can’t afford to miss a single line in a meeting. In enterprise sales, accuracy matters. Hierarchy matters. Clear ownership matters.

So your AI has to matter too.

If you’re tackling similar challenges or want to compare notes, we’d love to connect.

📩 founders@bizcrush.ai

A Reality Check on AI Economics

What does the real world of AI startups look like once the demo buzz fades?

At Columbia Business School, BizCrush CTO Ethan Kim recently shared one simple rule:

Every API call costs money — and the smartest teams build architectures that scale with that truth in mind.

In this post, we’ll unpack how BizCrush redesigned its AI infrastructure and cut monthly costs by 64% in just 90 days, without slowing product performance.

The Hidden Cost Curve of AI Startups

Most early AI products impress fast. But scale flips the economics.

Around 10K monthly active users, every extra API call, retry, or re-run turns into real burn. Optimizing for accuracy alone doesn’t cut it at scale — you need to optimize for result-per-dollar, not cost-per-token.

BizCrush’s meeting agent — which captures in-person conversations, summarizes insights, and auto-generates personalized follow-ups — once triggered dozens of LLM calls per session. Instead of swapping models, the team rethought the architecture.

Building Smarter, Not Bigger

Infrastructure spend was $25K/month.

Three months later, it was ~$9K/month — a 64% drop — driven by changes in *caching, model *routing/mixing, and internal communication processes.

*Caching: Storing and reusing previous model outputs to reduce token and compute spend.

*Routing: Automatically directing each task to the model or server best suited for it.

1. Prompt Caching: Reuse What You Already Paid For

Problem: The system kept re-sending identical prompts, examples, and context blocks for multiple calls.

Solution: Move to a cache-first pipeline.

If a call is cache-eligible, the system reuses previously processed data — no need to pay again for the same tokens.

Why it works: LLMs “remember” through tokens. By caching context, we hold that memory without repurchasing it. Our team measured cache-hit rates (CHR) across providers and standardized around the most efficient setup.

Impact: Fewer input tokens, lighter compute, same quality.

Caching isn’t optional — it’s a core cost layer.

*CHR (Cache Hit Ratio): A metric that shows how often requested data is found in cache memory instead of being recomputed or re-fetched. A higher CHR means greater efficiency and lower processing cost.

2. Model Routing and Mixing: Cheapest Result > Cheapest Token

Not every job needs the same model.

BizCrush routes tasks by type and actual cost per result, not list price.

• Complex, repeatable tasks → Claude Sonnet-class models (higher upfront cost, but better cache reuse).

• Simple, one-shot calls → Smaller GPT-series models.

Routing adjusts automatically based on quality × latency × *retries.

If a smaller model causes extra retries, it’s not cheaper in the end.

Result: Stable quality, smoother latency, and significantly lower overall spend.

Cheapest token ≠ cheapest outcome.

*Retries: In AI systems, a retry happens when a model’s response fails validation or confidence checks and must be rerun. Each retry adds time and cost to the overall process.

3. Designing for What Models Can’t (Yet) Do

Models are probabilistic, and as such, products must demonstrate predictable behavior.

To prevent uncertainty from spiraling into wasted spend, BizCrush designed the system:

• Each task has a confidence level — it won't keep trying if it's uncertain.

• Uncertain outputs go to a cheaper validator or *fallback model instead of expensive re-runs.

• Cost-Heavy features (like real-time translation) toggle on only when necessary.

• Use *HITL (Human-in-the-Loop) for tasks that require accuracy and compliance.

This approach keeps costs predictable while maintaining reliability.

*Fallback model: A secondary model or simplified system that steps in when the primary AI model produces uncertain or low-confidence results.

*HITL (Human-in-the-Loop): A quality-control process where a human briefly reviews or corrects AI outputs, ensuring higher accuracy in critical tasks.

4. Communication Was the Real Bottleneck

During his talk, Ethan asked:

“How many of you built something that didn’t break — but still didn’t work?”

The issue wasn’t code — it was communication.

The BizCrush team aligned PMs and engineers around shared terms: confidence levels, fallback plans, and *cost metrics. Once everyone spoke the same language, decision-making accelerated, and the cost impact of design choices became clear.

*Cost metrics: Standardized measurements for tracking expenses tied to model calls, latency, retries, and compute usage—used to align engineering and product priorities.

The Results: Turning Costs into Confidence

Team habits that stuck:

• Measure before debating: Track CHR (cache-hit rate), *retry tax, and per-result cost before arguing which provider or model performs better.

• Right-size by task: Assign models like indexes — only where they belong.

• Align PM ↔ Eng: Build rules in the specifications so everyone works with the same expectations.

• Review pricing regularly: Model costs shift often; treat them like dependencies that need to be reviewed regularly.

*Retry tax: The accumulated financial and performance cost caused by failed or low-confidence AI calls that must be retried to achieve acceptable results.

Profitability as a Feature

Two principles stood out from Ethan’s workshop:

1. Profitability is an engineering decision. You can design it the same way you design for latency or uptime.

2. Cheaper outcomes beat cheaper tokens. The only way to learn which is which is by measuring your own data.

At BizCrush, we continue refining how AI infrastructure scales in real-world products. If you’re tackling similar challenges or want to compare notes, we’d love to connect.

📩 founders@bizcrush.ai

View full slides →

Behind the Buzzwords—What It Really Costs to Build AI

On October 23, BizCrush hosted its first in-person workshop with Columbia Business School’s AI club, titled “The Real Economics of Building AI Products”

More than 100 MBA and graduate students filled the classroom that day, representing backgrounds from finance and consulting to data science.

Instead of another hype-driven talk about generative AI, Ethan Kim, our CTO and co-founder, opened with a sentence that set the tone for the next 20 minutes.

“This isn’t our success story. It’s our survival playbook.”

The room went quiet. Then curious. Because behind every AI startup headline, there’s a hidden question — how do you actually make this work financially?

1. Inside the Session: Survival Is Strategy

Ethan walked through the truth : every technical decision is a financial one.

He broke down the real economics of running an AI company—how every technical decision, from which model you pick to how you design your data pipeline, is ultimately a financial decision.

He shared how BizCrush rebuilt its internal architecture, and cut infrastructure costs by 64%, not by switching models, but by redesigning how requests flows without sacrificing performance.

The key wasn’t cheaper tokens. It was smarter cost results achieved through prompt caching, smarter workflows, and human-in-the-loop desin.

2. Efficiency is a Strategy, Not a Shortcut

Ethan explained that a lower token price doesn’t always mean a lower total cost.

A $0.002 token can still burn your budget if you’re paying full price for every request.

“Cheaper per token doesn’t mean cheaper per result.”

At BizCrush, we shifted our focus from model shopping to workflow engineering — caching repeated queries, routing tasks intelligently, and monitoring model confidence in real time.

That’s how BizCrush scale sustainably.

3. The Real Bottleneck Isn’t Code—it’s Communication

You can optimize code all you want, but if your team isn’t aligned, you’ll leak money faster than you can deploy.

“When teams talk about features, they should also talk about confidence levels and fallback plans,”

That’s the mindset we use to make financially sound decisions under constant model change.

4. Thinking Beyond the Model

Most startup founders obsess over fine-tuning.

But in reality, the moat isn’t the model itself. It’s the system around it,

• Proprietary data

• Workflow design

• Compliance infrastructure

Those are what big models can’t copy and what determine whether you survive long enough to compete.

Building AI Literacy for Business Leaders

MBA students in the room asked sharp questions about switching costs, monetization strategies and scaling trade-offs.

One student summed it up.

“Understanding how AI startups make money might be the new business literacy.”

And that’s the point — AI economics isn’t just for engineers or CFOs. It’s a survival skill for anyone in the AI ecosystem.

Looking Ahead

This event came right after BizCrush closed its pre-seed funding round, marking an early milestone in our journey to make real world meetings smarter.

For us, the Columbia session wasn’t just another talk. It was a validation.

It showed that the next generation of business leaders cares not only about

what AI can do, but how it can sustain itself.

We believe the future of AI depends as much on economic design as it does on model performance.

And we’re just getting started.

Over the past few months, we’ve been refining our service based on real user feedback and deepening collaborations across academia and industry.

Soon, we’ll share a deep dive into how we achieved a 64% cost reduction — unpacking the architectural, financial, and operational levers behind building scalable, sustainable AI infrastructure.

Want dive deeper? Check out the slides here!

📘 Stay tuned for BizCrush Case Study: The Unit Ecomics Behind Cutting AI Infrastructure Costs by 64% in 90 Days — The Hidden Economics of Scaling AI

When your meeting ends, your work shouldn’t stop there.

With BizCrush, you can instantly sync both your meeting notes and attendee leads to HubSpot CRM — turning every real-world conversation into an actionable connection.

Here’s how it works 👇

1. After your meeting ends

Every meeting note in BizCrush includes a hamburger menu at the top right corner.

Click the menu, and you’ll find the “Sync to HubSpot” option.

2. Select attendees to sync as HubSpot leads

If it’s your first time syncing, you’ll just need to log in to HubSpot once and grant permission — quick and easy.

From the attendee list, choose the people you’d like to sync with HubSpot.

• Each selected participant will be added as a lead (contact) in your HubSpot CRM

💡 Only attendees who were invited to the meeting can be synced. Make sure invitations are sent before the session begins.

3. Click “Sync to HubSpot”

If your HubSpot account is already connected, BizCrush will automatically:

• Create a new contact for each attendee

• Upload additional AI-discovered information such as name, company, and contact details

• Record a meeting summary note with the meeting’s date and discussion summaries.

💡 If the contact already exists, BizCrush updates missing fields and adds new meeting summaries under Notes — grouped by date

Once syncing begins, the button changes to “Syncing…”

When the process is complete, a confirmation message — “HubSpot Sync Request Completed” will appear.

4. Review synced data in HubSpot

After syncing, you can view all details directly in HubSpot.

In HubSpot, open their contact card to view:

• AI-discovered details (name, company, contact info, email, etc.)

• transcript summary (Date, time, and topic of the conversation)

  
  

💡 Pro Tips

• Missing attendee email = no sync — make sure everyone’s contact info is added before your meeting.

• Once a contact is synced, future meetings with the same person will auto-link to their HubSpot profile.

• Combine this with BizCrush’s auto follow-up email to make your sales and networking workflow effortless.

  
  

And by popular demand from our users, we’ll soon be expanding integrations beyond HubSpot — including Salesforce, Loops and other CRM platforms.

Check out our Changelog for the latest feature updates . If you have any questions or feature requests, feel free to reach out anytime at help@bizcrush.ai — stay tuned 🚀