From questions to closures: 1.6 billion tokens at work

SiftHub now processes over 1.6 billion tokens every month. That’s not just raw processing power; that’s context. Every token represents a micro-decision: what your seller needs to know, how they should respond, and how fast they can move the deal forward.

Because in every sales cycle, the real challenge isn’t having AI - it’s getting the exact solution, answer, or asset you need, right when you need it.

Billions of tokens power those moments, helping every seller, SE, and enablement leader act faster, stay consistent, and close more with confidence.

From faster content to smarter context

AI for revenue teams has shifted. The goal isn’t to automate content creation - it’s to automate understanding. SiftHub’s platform exists to help teams craft precise, contextual responses and assets that mirror their buyers’ real problems.

Each token contributes to that purpose: compressing vast knowledge into a focused context, aligning tone to persona, and constructing solutions that bridge buyer pain ↔ product capability.

The agents that power every stage of the deal cycle

SiftHub’s AI Agents work together to support sellers and solutions teams from the very first discovery call to the final handover. Each one is purpose-built to give your team exactly what they need, when they need it - with zero wasted motion.

Stage 1: Discovery & Qualification

• Persona-ready pitches: Create persona-ready pitches and decks tailored to every prospect. No more generic presentations - every slide speaks directly to buyer priorities and industry nuances.
• Unified sales narrative: Build consistent sales narratives and talk tracks that resonate across deals. Keep messaging unified so every rep sells with the same clarity and confidence.
• Smart deal scoring: Score and qualify prospects to ensure reps focus on best-fit opportunities. Analyze interaction signals, intent data, and conversation context to help teams prioritize smartly.

Stage 2: Evaluation & Solutioning

• Key deal signals: Analyze every sales call to surface buyer pain points, flag deal signals, and recommend next-step follow-ups. Turn raw conversations into actionable insights - no manual note-taking required.
• Real-time call assistance: Provide real-time competitive intel, win-loss signals, and objection handling. Keep your reps ready for every objection and armed with the current competitive positioning.

Stage 3: Proposal & Negotiation

• Automated RFP response: Automate complex RFP, RFI, and questionnaire responses at scale. Handle sourcing, formatting, and approvals while ensuring every answer stays compliant and accurate.
• Bid qualification intelligence: Assess solution fit, identify gaps, and power bid/no-bid decisions. Help teams focus on winnable opportunities instead of chasing every request.

Stage 4: Closing & Handover

• Contract precision: Draft accurate, customized statements of work directly from deal details. Eliminate rework and ensure every contract reflects the final solution precisely.
• Seamless deal handover: Seamlessly transfer deal context and commitments to customer success. Keep promises aligned post-close so onboarding starts smoothly and trust carries forward.

Under the hood: How tokens become context

Behind every AI-generated answer or asset, SiftHub’s infrastructure optimizes billions of token-level operations for precision and efficiency.

• Hybrid retrieval: Combines semantic search with structured metadata to locate exactly what matters.
• Context graphs: Connect entities - products, personas, pains, and proof points - so responses mirror how sellers actually think.
• Dynamic context compression: Distills large documents or transcripts into focused model-ready input.
• Adaptive caching: Reuses learned embeddings to cut redundant tokens by 25%+.
• Organizational memory: Continuously learns from user edits, making every future response smarter.

In short, we don’t just process tokens - we make every token count.

What the tokens deliver

Those tokens translate into measurable impact:

• 5K + RFPs and questionnaires completed
• 1M + instant answers served
• 10K + sales narratives and assets created
• 2K + dynamic battlecards and competitive intel refreshed
• 2K + custom solution stories generated

Every one of these represents a seller who found the right answer faster, a team that stayed on-message, and a buyer who got exactly what they needed.

What we learnt

1. Precision beats volume: Retrieval quality drives more value than raw model size.
2. Reusable context compounds: Caching and summarization cut costs while improving accuracy.
3. Specialized agents win: Modular, task-tuned agents outperform monolithic AI assistants.
4. Human feedback is gold: Every correction feeds the memory graph and sharpens future responses.

Every token tells a story

Every token carries context, memory, and intent, helping sellers move faster, communicate smarter, and deliver solutions that win. Because when every token counts, every conversation becomes a competitive advantage.

Authored by Harsh Vakharia, Product & Solutions at SiftHub