Transform Conversations Into Intelligence
The Language Data Infrastructure that transforms unstructured customer data into structured, analytics-ready insights for your data, BI, and AI workflows.
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The Unstructured Data?Problem
Most of the data that businesses collect is dark data - unstructured text from customer conversations that goes unanalyzed.
5% Structured data
95% Unstructured
Phone Calls
Email
Social
Voice Agents
Live Chat
Chatbot
Mobile App
Surveys
Tickets
Customer conversations happen across email, chat, surveys, social media and voice calls, yet each system structures data differently. The fragmentation makes it nearly impossible to extract meaningful insights at scale
Legacy B.I. tools rely on structured data and manual tagging, offering only surface-level insights.
The next evolution for the modern data stack: making language data a first-class citizen.
1990s
Boolean Keywords
Early 2000s
Bag of Words ?& TF-IDF
Mid-2000s
Sentiment Analysis
2012
Topic Modeling
2017
Deep Learning for NLP
2018
Transformer Models
2022
LLMs
1990s
Boolean Keywords
Bag of Words ?& TF-IDF
Early 2000s
Mid-2000s
Sentiment Analysis
Topic Modeling
2012
2017
Deep Learning for NLP
Transformer Models
2018
2022
LLMs
1990s
Boolean Keywords
Mid-2000s
Sentiment Analysis
2017
Deep Learning for NLP
2022
LLMs
Early 2000s
Bag of Words ?& TF-IDF
2012
Topic Modeling
2018
Transformer Models
Extract infinite insights aligned with each team from a single line of text.
Meaning has many dimensions. Your teams have different goals.
Feature Requests
Competitive Mentions
Script Adherence
Influencer Content Impact
Burnout Warnings
Confusion Triggers
Resolution Confirmation
Feature Requests
Competitive Mentions
Script Adherence
Influencer Content Impact
Burnout Warnings
Confusion Triggers
Resolution Confirmation
Feature Requests
Competitive Mentions
Script Adherence
Influencer Content Impact
Burnout Warnings
Confusion Triggers
Resolution Confirmation
Feature Requests
Competitive Mentions
Script Adherence
Influencer Content Impact
Burnout Warnings
Confusion Triggers
Resolution Confirmation
Language Data Infrastructure for the Modern Data Stack
Unlock your goldmine of "dark data" with our unstructured data ETL that plugs into your existing BI?workflows.
vs
Traditional Tools
Replace manual labelling forever, enrich your data intelligently
Browse Dimensions
Hours wasted on manual tagging
Limitations we solve for:
Manual topic creation & endless Boolean keywords
Data transformations disconnected from analytics
Manual tagging leads to inconsistent, reactive insights
Auto-group themes and effortlessly orchestrate your data
Impossible to detect emerging themes & the unknown unknowns
Limitations we solve for:
Limited to word clouds and basic keyword searches.
Manual updating of taxonomy is required
No automatic detection of emerging themes
Your data has always been this complex, you just haven’t been able to see it.
Difficult to visualize unstructured data and do comprehensive drill-downs
Standard charts lack depth & relational context
Limited ability to trace insights back to source data
No visibility into omni-channel customer journeys
Make insights your command center with A.I.-embedded Reporting
Difficult to create accurate, omni-channel reporting for unstructured data
Limitations we solve for:
Rigid, template-based reporting with limited customization
Struggles with large datasets and real-time analytics
No ability to connect insights across multiple sources
Replace manual labelling forever, enrich your data intelligently
Instantly transform raw text into structured insights with AI-powered enrichment. Unlimited, goal-based segmentation—no manual tagging.
Browse Dimensions
Hours wasted on manual tagging
Limitations we solve for:
Manual topic creation & endless Boolean keywords
Data transformations disconnected from analytics
Relies on CSAT/NPS/Sentiment for complex insights
Manual tagging leads to inconsistent, reactive insights
Auto-group themes and effortlessly orchestrate your data
Get insight into the similarity and relational structures sitting in your data. No middleman required to customize and generate taxonomy around your proprietary data.
Impossible to detect emerging themes & the unknown unknowns
Limitations we solve for:
Limited to word clouds and basic keyword searches.
Manual updating of taxonomy is required
No automatic detection of emerging themes
Can’t identify relationships or context between key themes.
Your data has always been this complex, you just haven’t been able to see it.
Explore and investigate trends effortlessly with adaptive workspaces that let you filter insights, track patterns, and drill down to root causes.
Difficult to visualize unstructured data and do comprehensive drill-downs
Limitations we solve for:
Standard charts lack depth & relational context
Limited ability to trace insights back to source data
No visibility into omni-channel customer journeys
No way to do deep drill-downs on unstructured data
Make insights your command center with A.I.-embedded Reporting
Take action over time with an A.I. summaries & recommendations on custom dashboards designed for evolving, high-volume data—built for speed, scale, and precision.
Difficult to create accurate, omni-channel reporting for unstructured data
Limitations we solve for:
Rigid, template-based reporting with limited customization
Struggles with large datasets and real-time analytics
No ability to connect insights across multiple sources
Fails to blend structered & unstructered data in one platform
Lacks AI-powered automation for reporting & insights
Enrich your data with structure and meaning
Instantly transform raw text into structured insights with AI-powered enrichment. Unlimited, goal-based segmentation—no manual tagging.
Browse Dimensions
Countless hours wasted on manual tagging
Manual topic creation & endless Boolean keywords
Data transformations disconnected from analytics
Relies on CSAT/NPS/Sentiment for complex insights
Manual tagging leads to inconsistent, reactive insights
Auto-Group themes and effortlessly organize your data
Get insight into the similarity and relational structures sitting in your data. No middleman required to customize and generate taxonomy around your proprietary data.
Impossible to detect emerging themes & the unknown unknowns
Limited to word clouds and basic keyword searches.
Manual updating of taxonomy is required
No automatic detection of emerging themes
Can’t identify relationships or context between key themes.
Visualize your new insights with interactive analytics
Explore and investigate trends effortlessly with adaptive workspaces that let you filter insights, track patterns, and drill down to root causes.
Difficult to visualize unstructured data and do comprehensive drill-downs
Standard charts lack depth & relational context
Limited ability to trace insights back to source data
No visibility into omni-channel customer journeys
No way to do deep drill-downs on unstructured data
Turn insights into action with A.I.-embedded Reporting
Take action over time with A.I. recommendations & summaries inside custom dashboards built for speed, scale, and precision.
Difficult to create accurate, omni-channel reporting for unstructured data
Rigid, template-based reporting with limited customization
Struggles with large datasets and real-time analytics
No ability to connect insights across multiple sources
Fails to blend structered & unstructered data in one platform
Lacks AI-powered automation for reporting & insights
Get started immediately and grow to the highest levels of complexity
Our platform is “Low Floor, High Ceiling” — meaning anyone can get started from Day 1 and eventually evolve to the highest levels of your enterprise-wide complexity over time
Begin with a single file or data source
Upload & integrate data instantly
Auto-enrich with 26 ready-to-use dimensions
Automatic groupings for immediate insights
Pre-built templates & dashboards to get started
Capture all sources across your business
Normalize data across multiple sources
Omni-channel dashboards for every stakeholder
Infinite custom dimensions tailed to any team
Fine-tune insights with advanced mapping
Team workflows,
re-imagined with A.I.
Current
Inability to quantify CX issues at scale prioritize initiatives backed by data
Impossible to tie CX insights to financial impact
Fragmented view of customer journey
Inability to see omni-channels trends
with
Predictive Scoring & insights on every CX touch point
A.I.-driven insights & summaries tied to financial impact to effectively prioritize initiatives
Easily track emerging trends & anomalies over time
Full visibility into the omni-channel customer journey
Current
Manually processed feedback analysis
Keyword-based topics are ineffective
Reactive trend awareness and action planning
with
Fully automated insights from survey open-ends, at scale
A.I.-driven categorization & sub-categorization, with recommendations
Proactive VoC insights & emerging trend detection
Current
Inability to prioritize product feedback at scale
Inability to integrate all customer feedback sources into one place
Current feedback categorization is too broad & ambiguous
with
Granular product insights based on feedback drivers
Instant prioritization based on 360 customer observability from all sources
A.I.-driven categorization tied to specific issues
Current
Manual review & tagging of transcripts
Limited metrics lacking relevance to business goals
Unclear bot performance & optimization planning
with
Automated A.I. insights reveal evolving customer questions and response precision
Comprehensive bot performance dashboards shared easily across the org
Enables swift bot optimization aligned with key objectives
Current
Inability to understand agent response variability or hallucinations at scale
Uneven focus on model observability and conversation quality
Limited understanding of knowledge base effectiveness and gaps
with
Enhanced insights into customer preferences to tailor responses more effectively
Blend LLM observability metrics with conversation analysis
In-depth analysis of knowledge base relevance and accuracy
Current
Limited visibility into custoOnly able to report on basic performance metricsmer sentiment
Limited view of agent effectiveness and customer friction points
Reliance on post-call agent tagging is inaccurate
with
Bifrucated A.I.-driven analysis on both agent performance and customer experience
Predictive Scoring & insights on every customer journey
Recommended optimizations for resolution speed and agent impact
?Customer Experience
Current
Inability to quantify CX issues at scale prioritize initiatives backed by data
Impossible to tie CX insights to financial impact
Fragmented view of customer journey
Inability to see omni-channels trends
with
Predictive Scoring & insights on every CX touch point
A.I.-driven insights & summaries tied to financial impact to effectively prioritize initiatives
Easily track emerging trends & anomalies over time
Full visibility into the omni-channel customer journey
current
Manually processed feedback analysis
Keyword-based topics are ineffective
Reactive trend awareness and action planning
with
Fully automated insights from survey open-ends, at scale
A.I.-driven categorization & sub-categorization, with recommendations
Proactive VoC insights & emerging trend detection
Current
Inability to prioritize product feedback at scale
Inability to integrate all customer feedback sources into one place
Current feedback categorization is too broad & ambiguous
with
Granular product insights based on feedback drivers
Instant prioritization based on 360 customer observability from all sources
A.I.-driven categorization tied to specific issues
Current
Manual review & tagging of transcripts
Limited metrics lacking relevance to business goals
Unclear bot performance & optimization planning
with
Automated A.I. insights reveal evolving customer questions and response precision
Comprehensive bot performance dashboards shared easily across the org
Enables swift bot optimization aligned with key objectives
Current
Inability to understand agent response variability or hallucinations at scale
Uneven focus on model observability and conversation quality
Limited understanding of knowledge base effectiveness and gaps
with
Enhanced insights into customer preferences to tailor responses more effectively
Blend LLM observability metrics with conversation analysis
In-depth analysis of knowledge base relevance and accuracy
Current
Limited visibility into custoOnly able to report on basic performance metricsmer sentiment
Limited view of agent effectiveness and customer friction points
Reliance on post-call agent tagging is inaccurate
with
Bifrucated A.I.-driven analysis on both agent performance and customer experience
Predictive Scoring & insights on every customer journey
Recommended optimizations for resolution speed and agent impact
Security
We uphold the highest standards of data security suitable for enterprise data
SOC2 Compliant
We uphold the highest data security standards with SOC2 companies
ISO 2701 Compliant
We uphold the highest data security standards with ISO companies
GDPR Compliant
We upload the highest data security standards with GDPR compliance
PII Redaction
PII redaction libraries available for your teams to redact PII
Penetration Testing
Continuous penetration testing monitored & audited
MSA’s for Enterprises
Master Service Agreements available for all enterprise clients
Cloud or On-Prem
Options for cloud or single tenancy requirements
Data Deletion
Upon request, we can delete all the date ever sent to you
Infinitely Scalable
Our infrastructure is purpose-build for scale & performance
Launch strategy without worrying about the latest LLM technology.
We bring you the most intuitive way to apply the latest.
Hear it for yourself
Dimension is for companies looking to adopt unstructured, data-driven technologies for the next decade.
