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Unwrap

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About

Unwrap is a customer intelligence platform designed to centralize and decode unstructured feedback at scale. Originally conceived by former Amazon Alexa product managers, the tool addresses the challenge of manually parsing through thousands of support tickets, app store reviews, and social mentions. By utilizing advanced Natural Language Processing, it transforms messy qualitative data into structured, quantitative insights, allowing organizations to maintain a real-time pulse on their user base without the burden of manual tagging. It acts as a bridge between the vast amount of raw data customers generate and the actionable intelligence teams need to build better products. The platform functions through a three-step process: connecting thousands of feedback sources, analyzing the data using proprietary AI, and providing actionable tools for various stakeholders. Key features include an Auto Tagger that categorizes feedback trends automatically, custom Dashboards for team-specific metrics, and an AI Assistant that allows users to query their feedback data using natural language. Additionally, the system includes proactive alerting to surface emerging bugs or sentiment shifts before they escalate, and a Responder feature to streamline customer communication. This allows teams to move from reactive troubleshooting to proactive product management. Unwrap is primarily built for medium-to-large enterprises, particularly those in retail, software, and travel sectors where feedback volume is high. Product Managers use it to validate roadmap decisions with data, while Customer Experience teams leverage it to reduce the time spent on manual reporting—often reducing monthly workloads by over 90 percent. Executives benefit from high-level visibility, ensuring that the voice of the customer is represented in strategic meetings without requiring deep technical dives into raw data silos. It is especially useful for organizations that find traditional manual tagging methods impossible to maintain as they scale. What sets Unwrap apart is its proactive by design philosophy and its enterprise-ready infrastructure. Unlike basic sentiment analysis tools, it focuses on transparency and cross-organizational adoption, offering unlimited seats to encourage a customer-centric culture rather than siloed data access. The platform is built with rigorous security standards, including SOC 2 Type II, GDPR, and HIPAA compliance, along with automatic PII redaction to protect sensitive user information. This combination of deep AI intelligence and robust security has made it a preferred choice for major companies like GitHub, lululemon, and Perplexity.

Pros & Cons

Does not charge per seat, allowing unlimited team members access to data.

Includes automatic PII redaction and SOC 2 Type II security for enterprise privacy.

Reduces manual feedback analysis time from 20 hours to under 2 hours per month.

Supports thousands of integration sources for centralized feedback management.

Proactive alerting system identifies emerging issues before they become major problems.

Starting price of $24,000 per year may be prohibitive for small startups.

Requires a formal demo or trial period rather than a self-serve instant signup.

Pricing is dependent on feedback volume, which may lead to cost scaling for high-growth companies.

Use Cases

Product Managers can identify and prioritize the most important customer requests to inform roadmap decisions with clear data.

Customer Experience teams can automate the tagging and categorization of thousands of support tickets, reducing manual work.

Executive leadership can gain high-level visibility into customer sentiment and ensure major issues are being addressed across the organization.

User Researchers can use the natural language assistant to instantly find specific customer anecdotes and qualitative trends.

Support teams can use the Responder feature to reply faster to feedback and build stronger customer trust.

Platform
Web
Task
customer understanding

Features

multilingual support

api access

custom dashboards

pii redaction

proactive alerts

auto tagger

feedback responder

natural language assistant

FAQs

How much does Unwrap cost?

Plans are custom-tailored based on your team's monthly feedback volume and the specific integrations you require. Pricing starts at $24,000 per year, and the platform does not charge per seat.

What security certifications does the platform have?

Unwrap is built for enterprise-grade security and is SOC 2 Type II and GDPR compliant. It also supports HIPAA compliance and includes features like automatic PII redaction and SSO via Okta.

Can I test the tool with my own data before committing?

Yes, Unwrap offers the option to start with a 30-day trial based on your actual data. This allows your team to see the platform's insights in the context of your specific customer feedback.

How does the AI Assistant work?

The Assistant allows you to query your accumulated feedback using natural language. You can ask specific questions to find trends or individual anecdotes without manually searching through databases.

What types of feedback sources can Unwrap connect to?

The platform is designed to integrate with thousands of sources effortlessly. This includes public data like app store reviews as well as private data from support tickets and internal surveys.

Pricing Plans

Flexible Plans
USD24000.00 / per year

Unlimited seats

SSO & Okta

HIPAA compliance

GDPR compliance

API access

Real-time alerts

Tailored onboarding

Feedback responder

PII removal

Multilingual support

Job Opportunities

Unwrap favicon
Unwrap

Applied NLP Engineer

Uncover hidden customer trends and prioritize product roadmaps using AI-powered feedback analysis that automatically tags, summarizes, and alerts teams to issues.

engineeringonsiteSanta Barbara, US
$160K - $220K
full-time

Benefits:

  • Offers Equity

  • Ground floor impact

  • Significant, potentially life-changing equity

  • Rapidly advance your career

  • Collaborate with experienced teammates

Experience Requirements:

  • 2+ years experience building real-world NLP solutions

Other Requirements:

  • Developing high quality product

  • Active software development (80%+ of time)

  • Own what you build

  • Comfortable with ambiguous product requirements

  • Comfortable meeting with customers

Responsibilities:

  • Own and deliver major customer-facing solutions end-to-end

  • Understanding customer needs

  • Helping compile sprint requirements

  • Shipping core NLP features

  • Designing and building NLP features

Show more details

Full Stack Engineer

Uncover hidden customer trends and prioritize product roadmaps using AI-powered feedback analysis that automatically tags, summarizes, and alerts teams to issues.

Benefits:

  • Offers Equity

  • Ground floor impact

  • Significant, potentially life-changing equity

  • Rapidly advance your career

  • Collaborate with experienced teammates

Experience Requirements:

  • 2+ years experience as a software engineer

  • Hands-on experience working on frontend and backend software systems

Other Requirements:

  • Developing high quality product

  • Active software development (80%+ of time)

  • Own what you build

  • Comfortable with ambiguous product requirements

  • Comfortable meeting with customers

Responsibilities:

  • Own and deliver major customer-facing components end-to-end

  • Understanding customer needs

  • Helping compile sprint requirements

  • Shipping core product features

  • Designing and building user-facing tools

Show more details

Full Stack Engineer Intern

Uncover hidden customer trends and prioritize product roadmaps using AI-powered feedback analysis that automatically tags, summarizes, and alerts teams to issues.

Benefits:

  • Ground floor impact

  • Significant, potentially life-changing equity

  • Rapidly advance your career

  • Collaborate with experienced teammates

  • Work directly with enterprise customers

Experience Requirements:

  • Hands-on experience working on frontend and backend software systems

Other Requirements:

  • Developing high quality product

  • Active software development (80%+ of time)

  • Own what you build

  • Comfortable with ambiguous product requirements

  • Comfortable meeting with customers

Responsibilities:

  • Own and deliver major customer-facing components end-to-end

  • Understanding customer needs

  • Helping compile sprint requirements

  • Shipping core product features

  • Designing and building user-facing tools

Show more details

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