The Smarter, Faster Path to Enterprise Listening

Deploy AI-driven insights in weeks, not months, and get the most out of your conversations with prospects and customers.

Faster Time-to-Value

Implement enterprise listening in weeks, not months or years.

Cost effective

Lower total cost of ownership compared to building and maintaining an in-house solution.

Scalabilty

Easily scales with your business growth without additional infrastructure investment.

Focus

Empower your team to focus on core business activities.

Expertise

Get specialized knowledge in AI, automation and Enterprise Listening

Continuous Innovation

Stay ahead with regular updates and new features.

Reduce Risks

Proven solution with successful deployments across various industries.

Comprehensive integration

Seamlessly integrates with your existing tools.

A side-by-side comparison

Category	In-house Solution	Momentum Solution
Setup Time
Setup Time	6-12 months	1 week
Cost (Annual)
Cost (Annual)	$1,000,000+ (5 FTE: Engineering salaries, infrastructure, ongoing maintenance)	$99 per month per user + platform fee
Team Required
Team Required	• 3-5+ Full-time engineers • 1-2 Data scientists • 1 Project manager • 1-2 QA specialists	Assigned AE/CSM/SE team + Momentum technical support
Maintenance
Maintenance	Continuous in-house effort	Included
Scalability
Scalability	Limited by in-house resources	Scales with your needs
Integration Complexity
Integration Complexity	High - custom integrations needed	Pre-built integrations with major platforms and future integrations (custom) can be accommodated (see list of integrations)
AI/ML Capabilities
AI/ML Capabilities	Internal teams can initially use latest AI models, but are challenged by consistently and quickly adapting or migrating based on changes in the AI industry	Momentum undergoes model updates and maintenance on a bi-weekly basis. Momentum has a tried and true methodology and practice with respect to this and we believe this to be an area of drastic underestimation when building on top of a raw foundation model.
Reducing Hallucinations
Reducing Hallucinations	Requires full time oversight, systems, and advanced knowledge in prompting	Momentum uses RAG, advanced prompt engineering, and a unique extraction engine to ensure accurate, reliable outputs. Our solution evolves with your needs, eliminating the burden of constant internal adjustments
Features
Features	Custom - Each time business requirement or process changes, updates and reengineering required	Comprehensive suite of products that are tuned and evolving. The horizontal nature and central thesis of Momentum (to act as a data pipeline under any tech stack) means that we can go potentially deep (and are) into a vertical specific feature set given the right economics.
Data Privacy
Data Privacy	Full control, but requires significant effort to maintain	Zero retention policy with third-party providers (e.g., OpenAI) backed by a thorough Data Privacy Addendum that we establish with all customers
Customization
Customization	Highly customizable, but time/resource consuming	Flexible configurations, evolves with your business
User Adoption
User Adoption	Requires extensive training	Integrates with existing tools, Momentum meets customers where they are – minimal learning curve, works OOTB
Time to Value
Time to Value	Long - must build from scratch	Instant - pre-built solutions ready to deploy
Risk
Risk	High - success depends entirely on in-house capabilities and team member who may not be there long term and tribal knowledge leaves with them	Lower - proven solution with multiple successful deployments