ContraVault AI cuts Toyo Engineering's 3,000+ page RFP turnaround from ~4 days to 1-2 minutes

Toyo Engineering Corporation is a leading industrial engineering and construction company delivering end-to-end project services across the full lifecycle – from R&D support and planning through design, procurement, construction, commissioning, and technical assistance.

Founded on May 1, 1961, the company operates at a huge scale with 6,000+ employees. Its work spans complex industrial sectors including oil & gas, petrochemicals/chemicals, water treatment, power generation, advanced production systems, and life sciences (pharma, fine chemicals, biotech), alongside broader environmental solutions.

• Toyo Engineering has been using ContraVault AI for 8+ months, procured for their entire sales team.
• In a workflow review, Swapnil S. Walve (Business Development Engineer) met with the ContraVault team (Tanmay Juneja (CTO) and Vaishnavi (AM)).

The case study focuses on two proof points: Synopsis and AI Search, framed in a challenge → solution → results style.

Toyo Engineering handles very large RFP packages, often 3,000+ pages, where speed matters and accuracy matters more. Early RFP work is costly: opening the package, finding sections, interpreting clauses across pages, then converting into a synopsis leadership can act on.

Manual reading/search creates:

• Slow turnaround for internal summaries
• Inconsistent interpretation when clauses are read in isolation

Toyo Engineering is using ContraVault AI as the starting point for RFP analysis. It is the first place RFPs are put for analysis before all decisions are made.

Workflow shift: "ContraVault AI as an ecosystem to work on any tender document."

• Instead of beginning in PDFs, the team aligns on starting inside ContraVault AI for RFP reading (technical, commercial, and procedural).
• ContraVault AI is positioned as the entry point to RFP work so stakeholders start with the same baseline understanding.

Standardized first: Synopsis generation.

• Earlier, synopsis for a 3,000+ page RFP took ~4 days (manual reading/extraction/consolidation).
• Now, synopsis can be generated in 1–2 minutes.

Strong adoption: RFP Contextual Search.

• Earlier: index search → find pages → quick read → interpret in the moment (often missing context across sections).
• Now: RFP-grounded search helps teams reach the right clause faster and review with better continuity across the RFP set.

The platform preserves and makes it easy to revisit prior searches/queries for the same RFP, enabling reuse and reducing repeat effort. This contributes to a preference for ContraVault AI search over general-purpose chat tools because the team is building a RFP-specific trail of context and interpretation.

Toyo Engineering is using ContraVault AI as the starting point for RFP analysis. It is the first place RFPs are put for analysis before all decisions are made.

• Synopsis turnaround: ~4 days to 1–2 minutes for 3,000+ page RFP packages
• RFP review motion: shift from "open PDFs and read" to "start in ContraVault AI"
• Search quality: faster clause discovery, lower misinterpretation risk, and reusable query trails across the RFP set

Why this matters (as stated): not just time savings, but a workflow shift where one system becomes the starting point for RFP understanding – moving from "Where do I find this clause?" to "What does this RFP require, and what should we do next?"