B2B Pricing Copilot

A virtual pricing analyst that supports every seller on every deal, ending the pain of waiting and lost margin.

10x
Faster Pricing
15%+
Margin Uplift
15x
Faster Quoting

Trusted by Industry Leaders

Join 100+ companies already using Titan AI

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Who Are We Building For

Our solution is designed for a variety of teams and organizations facing complex pricing challenges

B2B sales professionals

Individual sellers and enterprise sales teams who need faster, data-backed pricing guidance to protect margins and improve win rates

Pricing and dealdesk leaders

Decision-makers aiming to standardize pricing and reduce reliance on gut-feel approaches

Organizations with irregular or project-based demand

Businesses where customer spend fluctuates due to seasonal or operational cycles

Companies in highly competitive markets

Sellers that face frequent buyer comparisons against rival pricing and features.

Our Product Features

Comprehensive AI-powered tools designed to revolutionize your pricing and sales process

Insight Widgets

Decision-tree/neural network-powered pricing recommendations

LLM chatbot makes your pricing model explains itself
AI-powered pricing recommendations overview

Automatic insights extraction

Pricing tiers
Pricing tiers
Customer transaction history
Customer Profile

Maximize Margin

Value-based selling
Data-driven pricing recommendation
Upsell & cross-sell suggestion
Upsell cross sell
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Competitive analysis

Qualitative benchmarking
Competitor benchmarking
Quantitative benchmarking
Negotiation playbook
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Auto-generated negotiation playbook

Negotiation talk track
Competitor benchmarking
Battlecards
Negotiation playbook

and 10 more widgets tailored to your needs

Problems We Solved

Margin leakage

  • · Gut-feel pricing without competitor intelligence.
  • · No data on customer willingness to pay and product value.
  • · Weak negotiation capability causing discount leakage.

Inefficient pricing cycles

  • · Sellers waste hours gathering scattered data.
  • · Deal desks re-run manual analysis repeatedly.
  • · Approvals are slow, delaying customer responses.

Lack of visibility & governance

  • · No real-time margin tracking for active deals.
  • · Inconsistent pricing guardrails across teams.
  • · Leadership lacks dashboards for oversight.

Lost deals & poor customer experience

  • · Slow responses frustrate customers and erode trust.
  • · Inconsistent quotes reduce win rates.
  • · Lack of tailored pricing damages customer satisfaction.

Our Solution

Our customers experience margin uplift and quoting time reduction in a short period of time

Before

30 days / quote

Pricing

21 - 42 days

  • Gather pricing intelligence through manual searches or peer inquiries (e.g., historical comparable, promotion programs)
  • Manually input, analyze, and adjust pricing to optimize win rates and margin objectives

Quoting

10 hours - 1 day

  • Redo entire CPQ process if any customer comments
  • Manually input logistics and billing information upon confirmation
  • Manually update ERP/CRM systems after finalizing the quote

After

5 days / quote

Pricing with Titan AI

~1 - 2 days

  • Automatically generate margin-maximized pricing aligned with sellers' target win rates
  • Fetch comprehensive pricing intelligence (e.g., historical comparables and promotional programs) to enable optimal decision-making and benchmarking)

Quoting with Titan AI

~1 hour

  • Automatically ship finalized quote and auto-replace and reprice products if any customer comments
  • Automatically populate logistics and billing info.
  • Sync deal information seamlessly with CRM/ERP systems

Impact

10x Faster pricing time

1.5%-20%+ Margin uplift

50-70% Reduction in manual pricing overhead

10%-20%+ Increase in customer acceptance

60%+ Increase in CRM/ERP data accuracy

10x-20x Faster quote generation time

Why We Stand Out

Our pricing agent breaks the legacy monopoly on dynamic pricing technology, democratizing it to every business

Expensive Dynamic Solution

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Dynamic pricing AI agent for Mass Market

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Pricing Advisory

Simon-Kucher Logo OliverWyman 3 Roland Berger

Static or rule-based tool

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Technical capability Dynamic,
ML-driven
Static,
rule-based
Cost effectiveness ~$1M-$20M / yr Affordable / flexible

Mass market leader

Dynamic pricing tools are largely proprietary, used by Fortune 500s, and often cost $5M+ per year

We're democratizing this technology by combining domain expertise with practical know-how to deliver it efficiently and affordably.

Our Team

We have strong pricing and AI leaders to realize your margin gain

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Deep pricing understanding

A team of pricing leaders worked at top pricing solutions vendors

Precise identification of pricing pain points across quoting, discounting, and approval workflows

Tailored approach with consideration of business specific pricing rules and nuances

AI-powered dynamic pricing agent that helps balance margin goals with sales win rates

Proprietary data cleaning tools used to quickly sanitize datasets into feed-in ready pricing model

Battle-tested change management playbook that ensures seamless system integration and sellers' adoption

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Best AI technical expertise

A team of Google/Apple/MIT-trained engineers specialized in AI/LLM fine-tuning

User-friendly interfaces powered by fast and intuitive user adoption

Pricing-specific AI models built to reflect deal context, customer behavior, and product-level margin dynamics

Flexible deployment options across cloud and on-premise environments to meet enterprise data requirements

Optimized model training and inference acceleration that enhances processing speed, response time, and model accuracy

End-to-end managed pricing services from model training to monitoring and continuous improvement