Move Fast. Use AI to Build AI For Your Business & Customers
Move Fast. Use AI to Build AI For Your Business & Customers
We help businesses deploy private, secure AI chatbots for internal teams and customers — fast, affordable, and tailored to their data.
Make Every Bit Of Data Count
Make Every Bit Of Data Count
We build private, secure AI chatbots trained on company data — Fast. Go live in under a week.
We build private, secure AI chatbots trained on company data — Fast. Go live in under a week.
Ask Your Business. Get Clear Answers.
Your AI understands — so your team can ask questions and get accurate answers without searching, typing, or chasing people.
Voice Assitant
Speaker
Transcript
4:20
4:20
Anwar Raza
I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering
4:20
Anwar Raza
I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering
1:05
Sarah
Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.
1:05
Sarah
Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.
Ask Your Business. Get Clear Answers.
Your AI understands — so your team can ask questions and get accurate answers without searching, typing, or chasing people.
Voice Assitant
Speaker
Transcript
4:20
4:20
Anwar Raza
I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering
4:20
Anwar Raza
I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering
1:05
Sarah
Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.
1:05
Sarah
Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.
Ask Your Business. Get Clear Answers.
Your AI understands — so your team can ask questions and get accurate answers without searching, typing, or chasing people.
Voice Assitant
Speaker
Transcript
4:20
4:20
Anwar Raza
I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering
4:20
Anwar Raza
I’ve been reviewing the AI note summary logic, and I think it’s too focused on individual sentences rather than themes. For example, when someone discusses three points under the same topic, it still breaks them into separate highlights. It looks fragmented in the recap. I’d rather have it group related ideas together — maybe through semantic clustering
1:05
Sarah
Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.
1:05
Sarah
Yeah, I see what you mean. Right now, the summarizer is built to trigger whenever it detects a transition phrase, like “next,” “also,” or “another thing.” It’s good for structure but bad for flow. We can change that by using context windows — say, two minutes of dialogue — and summarize based on meaning overlap rather than sentence boundaries. That way, it understands we’re still under the same topic.
AI Answers, Ready to Share.
Turn conversations and company knowledge into clear, structured AI responses that your team or customers can use and share instantly.
Summary
Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.
Sarah Lee
00:10
Hey everyone, let’s start with last week’s updates.
Riley Aliet
00:30
The new dashboard layout is live, added AI note summary and action item tags.
Mark
00:57
Fixed the mobile scroll bug, all smooth now.
Tom
01:01
That’s on track for today, just final testing on usage metrics.
AI Answers, Ready to Share.
Turn conversations and company knowledge into clear, structured AI responses that your team or customers can use and share instantly.
Summary
Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.
Sarah Lee
00:10
Hey everyone, let’s start with last week’s updates.
Riley Aliet
00:30
The new dashboard layout is live, added AI note summary and action item tags.
Mark
00:57
Fixed the mobile scroll bug, all smooth now.
Tom
01:01
That’s on track for today, just final testing on usage metrics.
AI Answers, Ready to Share.
Turn conversations and company knowledge into clear, structured AI responses that your team or customers can use and share instantly.
Summary
Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.
Sarah Lee
00:10
Hey everyone, let’s start with last week’s updates.
Riley Aliet
00:30
The new dashboard layout is live, added AI note summary and action item tags.
Mark
00:57
Fixed the mobile scroll bug, all smooth now.
Tom
01:01
That’s on track for today, just final testing on usage metrics.
Built On Your Data. Private By Default.
Built On Your Data. Private By Default.
From internal support to customer service, deploy AI that actually understands your business. Your knowledge stays yours.
From internal support to customer service, deploy AI that actually understands your business. Your knowledge stays yours.
Today's Meeting Actions
You are almost there, complete the following as discussed in the meeting.
Implement semantic clustering for related discussion points
Update summarizer logic to use 2-minute context windows
Add “topic_id” tags with start/end timestamps to transcript schema
AI That Understands Context.
Your private AI connects the dots across conversations and documents to deliver answers that actually make sense.
Today's Meeting Actions
You are almost there, complete the following as discussed in the meeting.
Implement semantic clustering for related discussion points
Update summarizer logic to use 2-minute context windows
Add “topic_id” tags with start/end timestamps to transcript schema
AI That Understands Context.
Your private AI connects the dots across conversations and documents to deliver answers that actually make sense.
Today's Meeting Actions
You are almost there, complete the following as discussed in the meeting.
Implement semantic clustering for related discussion points
Update summarizer logic to use 2-minute context windows
Add “topic_id” tags with start/end timestamps to transcript schema
AI That Understands Context.
Your private AI connects the dots across conversations and documents to deliver answers that actually make sense.
Marketing strategy update
Team blockers
Deadline confirmation
Performance summary
Budget approval
Next sprint goals
Client feedback
Action items
Feature launch timeline
Design review notes
Follow-up tasks
Key decisions
Action items
Client feedback
Next sprint goals
Budget approval
Performance summary
Deadline confirmation
Team blockers
Marketing strategy update
Action items
Client feedback
Next sprint goals
Budget approval
l
Turn Knowledge Into Action.
Automatically transform internal knowledge into AI-generated insights your team can act on immediately.
Marketing strategy update
Team blockers
Deadline confirmation
Performance summary
Budget approval
Next sprint goals
Client feedback
Action items
Feature launch timeline
Design review notes
Follow-up tasks
Key decisions
Action items
Client feedback
Next sprint goals
Budget approval
Performance summary
Deadline confirmation
Team blockers
Marketing strategy update
Action items
Client feedback
Next sprint goals
Budget approval
l
Turn Knowledge Into Action.
Automatically transform internal knowledge into AI-generated insights your team can act on immediately.
Marketing strategy update
Team blockers
Deadline confirmation
Performance summary
Budget approval
Next sprint goals
Client feedback
Action items
Feature launch timeline
Design review notes
Follow-up tasks
Key decisions
Action items
Client feedback
Next sprint goals
Budget approval
Performance summary
Deadline confirmation
Team blockers
Marketing strategy update
Action items
Client feedback
Next sprint goals
Budget approval
l
Turn Knowledge Into Action.
Automatically transform internal knowledge into AI-generated insights your team can act on immediately.
Summary
Ai
02 Jan
Anwar
+2
01:12:43
Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.
Ai generated this summary using recording.
One AI Across Your Business
A single AI trained on your conversations, documents, and data — always available, always accurate.
Summary
Ai
02 Jan
Anwar
+2
01:12:43
Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.
Ai generated this summary using recording.
One AI Across Your Business
A single AI trained on your conversations, documents, and data — always available, always accurate.
Summary
Ai
02 Jan
Anwar
+2
01:12:43
Sarah and Mark discussed improving the AI meeting assistant’s summarization system. Sarah noted that the current model breaks related ideas into separate highlights, making recaps feel fragmented. Mark explained the summarizer’s current logic and suggested using larger context windows to group related topics. They agreed to implement semantic clustering and link summaries to specific time ranges for better interactivity. Mark also proposed adding topic-based color segments on the transcript timeline.
Ai generated this summary using recording.
One AI Across Your Business
A single AI trained on your conversations, documents, and data — always available, always accurate.
Clear Outputs, Every Time.
Get structured AI responses you can trust, reuse, and share across your organisation.
Clear Outputs, Every Time.
Get structured AI responses you can trust, reuse, and share across your organisation.
Clear Outputs, Every Time.
Get structured AI responses you can trust, reuse, and share across your organisation.
AI Assistants Built on Your Docs, Not Someone Else's.
AI Assistants Built on Your Docs, Not Someone Else's.
We help businesses deploy private AI chatbots for internal teams or customers — trained on your documents, policies, and knowledge base in days, not months.
Turn every meeting into clear summaries, searchable notes, and action-ready insights, all in one seamless workspace.
Instant Answers
Ask questions in natural language and get accurate answers instantly — pulled directly from your company’s documents, policies, and knowledge base.
Instant Answers
Ask questions in natural language and get accurate answers instantly — pulled directly from your company’s documents, policies, and knowledge base.
Instant Answers
Ask questions in natural language and get accurate answers instantly — pulled directly from your company’s documents, policies, and knowledge base.
Smart AI Actions
Automatically surface next steps, recommendations, and insights from conversations, documents, and workflows — without manual follow-ups.
Smart AI Actions
Automatically surface next steps, recommendations, and insights from conversations, documents, and workflows — without manual follow-ups.
Smart AI Actions
Automatically surface next steps, recommendations, and insights from conversations, documents, and workflows — without manual follow-ups.
Works Everywhere
Deploy your AI assistant on your website, internal tools, Slack, or custom apps. One AI, available wherever your team or customers need it.
Works Everywhere
Deploy your AI assistant on your website, internal tools, Slack, or custom apps. One AI, available wherever your team or customers need it.
Works Everywhere
Deploy your AI assistant on your website, internal tools, Slack, or custom apps. One AI, available wherever your team or customers need it.
Built For Teams
Keep everyone aligned with a shared AI trained on the same source of truth — reducing confusion, repetitive questions, and wasted time.
Built For Teams
Keep everyone aligned with a shared AI trained on the same source of truth — reducing confusion, repetitive questions, and wasted time.
Built For Teams
Keep everyone aligned with a shared AI trained on the same source of truth — reducing confusion, repetitive questions, and wasted time.
Custom & White-Label
Fully branded AI chatbots designed to look, feel, and behave like part of your product or business — from UI and tone to workflows and integrations.
Custom & White-Label
Fully branded AI chatbots designed to look, feel, and behave like part of your product or business — from UI and tone to workflows and integrations.
Custom & White-Label
Fully branded AI chatbots designed to look, feel, and behave like part of your product or business — from UI and tone to workflows and integrations.
Privacy First
Your data stays private. Each AI runs in an isolated environment, never trains public models, and is secured end-to-end by design.
Privacy First
Your data stays private. Each AI runs in an isolated environment, never trains public models, and is secured end-to-end by design.
Privacy First
Your data stays private. Each AI runs in an isolated environment, never trains public models, and is secured end-to-end by design.
Turn Your Company Knowledge Into an AI Assistant — Secure, Custom, and Fast.
Turn Your Company Knowledge Into an AI Assistant — Secure, Custom, and Fast.
We build private AI chatbots trained on your documents, knowledge base, and internal systems — without exposing your data.
We build private AI chatbots trained on your documents, knowledge base, and internal systems — without exposing your data.
"This instantly became our go-to internal tool. Instead of digging through docs or pinging teammates, we just ask the AI and get the right answer every time."
Aisha Khan
CTO
Omar Siddiqui
Head of Data
Don Rudish
Ops Lead
Rohan Thakur
Data Lead
Sami Rahman
Sales Lead
"This instantly became our go-to internal tool. Instead of digging through docs or pinging teammates, we just ask the AI and get the right answer every time."
Aisha Khan
CTO
"This instantly became our go-to internal tool. Instead of digging through docs or pinging teammates, we just ask the AI and get the right answer every time."
Aisha Khan
CTO
Omar Siddiqui
Head of Data
Don Rudish
Ops Lead
Rohan Thakur
Data Lead
Sami Rahman
Sales Lead
Frequently Asked Questions
Frequently
Asked Questions
Clear answers on how your private AI works, how your data stays secure, and how it can be used practice.
Clear answers on how your private AI works, how your data stays secure, and how it can be used practice.
How does the AI work?
Our AI is trained on your business data — such as documents, knowledge bases, policies, and FAQs — so it can answer questions accurately using your own information, not public data.
What data can the AI be trained on?
You can connect documents, PDFs, internal wikis, help centers, databases, and other approved data sources. We tailor the setup to your specific use case.
Is our data private and secure?
Yes. Each AI runs in an isolated environment. Your data is never shared, never exposed to other customers, and never used to train public models.
Can this be used internally and for customers?
Absolutely. You can deploy one AI for internal teams (HR, ops, onboarding) and another for customers (support, sales, FAQs), each trained on different data.
Where can the AI be deployed?
Your AI can live on your website, internal tools, dashboards, or messaging platforms like Slack — wherever it’s most useful.
Can we customise the AI’s behavior and tone?
Yes. You control how the AI responds, what it can access, and how it speaks — from professional and concise to friendly and conversational.
Do we need an in-house AI or engineering team?
No. We handle setup, training, and deployment. Your team just uses the AI — no prompts, tuning, or technical work required.
How long does setup take?
Most private AI chatbots are live within a week, depending on the complexity of your data and integrations.
Can the AI be white-labeled?
Yes. The AI can be fully branded to match your product or company, including UI, naming, and user experience.
How does the AI work?
Our AI is trained on your business data — such as documents, knowledge bases, policies, and FAQs — so it can answer questions accurately using your own information, not public data.
What data can the AI be trained on?
You can connect documents, PDFs, internal wikis, help centers, databases, and other approved data sources. We tailor the setup to your specific use case.
Is our data private and secure?
Yes. Each AI runs in an isolated environment. Your data is never shared, never exposed to other customers, and never used to train public models.
Can this be used internally and for customers?
Absolutely. You can deploy one AI for internal teams (HR, ops, onboarding) and another for customers (support, sales, FAQs), each trained on different data.
Where can the AI be deployed?
Your AI can live on your website, internal tools, dashboards, or messaging platforms like Slack — wherever it’s most useful.
Can we customise the AI’s behavior and tone?
Yes. You control how the AI responds, what it can access, and how it speaks — from professional and concise to friendly and conversational.
Do we need an in-house AI or engineering team?
No. We handle setup, training, and deployment. Your team just uses the AI — no prompts, tuning, or technical work required.
How long does setup take?
Most private AI chatbots are live within a week, depending on the complexity of your data and integrations.
Can the AI be white-labeled?
Yes. The AI can be fully branded to match your product or company, including UI, naming, and user experience.
Ask Your Data. Get Answers. Private AI Built for Your Business.
Ask Your Data. Get Answers. Private AI Built for Your Business.
Custom AI chatbots that understand your data, respect your privacy, and integrate seamlessly into your workflows.