OrbitShift provides a multi-agent AI system designed to optimize the entire enterprise sales cycle. This platform delivers actionable account insights, automates RFP and RFI response generation, and creates hyper-personalized sales content. The system aims to increase pipeline velocity, improve win rates, and significantly boost internal sales efficiency.
Funding
$8.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SFounders
Product
Problem
Sales teams in technology services and consulting face challenges in efficiently gathering account intelligence, responding to RFPs/RFIs, and creating tailored sales content. This often leads to wasted time on research, delayed proposal submissions, and missed opportunities for proactive client engagement.
Solution
OrbitShift is an AI-powered platform designed to streamline the consultative sales process. It integrates internal knowledge bases with real-time external data to provide actionable account insights, automate RFP/RFI response generation, and facilitate the creation of targeted sales pitches. By consolidating relevant information and automating key tasks, OrbitShift enables sales teams to reduce research time, accelerate proposal development, and improve client engagement. The platform delivers insights regarding account priorities, key personnel, technology spending, and strategic agendas in an easily digestible format.
Target Audience
OrbitShift primarily targets sales, pre-sales, bid teams, and marketing professionals within IT services, software, business services, and technology consulting organizations.
Features
- **accountOS:** Provides a comprehensive view of account intelligence, including priorities, key people, technology stack, and strategic agenda.
- **rfpOS:** Automates the generation of high-quality RFP/RFI responses by integrating with internal knowledge databases.
- **pitchOS:** Develops tailored sales pitches with on-demand value propositions, case studies, and competitive differentiations.
- Real-time data updates from hundreds of external sources.
- Integration of internal and external data for contextual insights.
- AI-driven recommendations for opportunities, client selection, and content creation.