V7 vs. ToltIQ
Searching for a good ToltIQ alternative? Evaluating ToltIQ as an AI due diligence platform
V7
vs.

Why choose V7 over ToltIQ?
Multi-Industry Coverage
V7 Go provides pre-built agents for finance, legal, insurance, and real estate, allowing firms to automate workflows across departments rather than just deal teams.
Visual Workflow Designer
V7 Go offers a low-code interface with conditional logic and human review steps, enabling business users to build and modify workflows without technical expertise.
Legacy System Integration
V7 Go's white-glove service includes solution engineers who build custom REST API integrations with existing enterprise systems and document repositories.
Features
What makes V7 Go the best ToltIQ alternative?
Compare due diligence automation capabilities side by side
V7

ToltIQ
VDR document processing
PE-specific prompts
Multi-industry agents
Visual workflow builder
Enterprise security
ToltIQ pricing explained
Both platforms use custom enterprise pricing based on usage and requirements
V7
V7 Go pricing includes a base platform fee for access to AI agents, plus user licenses and data processing charges based on document volume. Pricing scales with usage and specific use case requirements. The white-glove service tier includes solution engineers who build custom integrations with legacy systems, design industry-specific agents, and provide hands-on implementation support. Organizations can start with a free proof of concept using their own sample documents before committing.
Base platform fee plus user licenses and usage-based data processing
Free proof of concept with sample documents before commitment
White-glove service includes custom integrations and agent development by solution engineers

ToltIQ
ToltIQ uses custom enterprise pricing without published rates. The platform emphasizes ROI through productivity gains of 35-85% and time savings of 60-70% on document review. Pricing appears to follow a subscription or per-deal model based on document volume and user count. Demo requests are available through the website. The platform reports that clients can reduce team sizes significantly, with some replacing 10-person teams with 2-person operations.
Custom enterprise pricing with no published rates
Demo available through website contact form
ROI-focused positioning with reported 35-85% productivity gains
Comparing V7 Go and ToltIQ capabilities
Understanding pricing models for AI due diligence platforms
V7
Enterprise AI automation for due diligence and beyond
V7 Go is an enterprise AI automation platform that handles due diligence workflows alongside broader document operations across finance, legal, insurance, and real estate. The platform provides specialized AI agents that extract and analyze complex documents with visual grounding that traces every output to its exact source location. V7 Go achieves 95-99% accuracy on document processing benchmarks and supports context windows exceeding 1M tokens for large document bundles. The platform includes a low-code workflow designer accessible to business users, plus white-glove service with solution engineers who build custom integrations with legacy systems and design industry-specific agents.

ToltIQ
AI-powered due diligence for private equity deal teams
ToltIQ is an AI platform built specifically for private markets due diligence. The platform ingests entire virtual data rooms and enables deal teams to query financial, legal, technical, and market documents through a conversational interface. ToltIQ provides source-linked footnotes for every response, allowing rapid verification of extracted information. The platform includes a curated prompt library organized by diligence area, bulk query functions for extracting data across document sets, and Data Chat for analyzing Excel workbooks. ToltIQ maintains SOC 2 Type II compliance with single-tenant architecture and zero data retention policies. The platform is trusted by firms including Silver Lake, Fortress, and HarbourVest.
Trusted by teams shipping AI to production
What customers say after choosing V7 Go




