Bid Bunny deploys an AI agent that reads utility-scale solar plan sets, performs drawing extraction, builds reviewable takeoffs, applies customer estimating logic, and pulls context from similar past projects. Every project added to the system expands the RAG knowledge base, so the platform gets sharper with use.
Bid Bunny ingests utility-scale solar engineering plan sets and runs an AI-native workflow: an extraction agent reads the drawings, a rules engine applies customer logic, and historical project memory from the RAG system brings forward relevant precedent before the team reviews output.
The extraction agent produces structured quantities linked to exact drawing source, so estimators can verify decisions quickly instead of starting from scratch.
Bid Bunny can reference prior bids, takeoffs, and project patterns from the RAG system to surface precedent before your team finalizes pricing.
Configure labor assumptions, material preferences, assemblies, and exclusions to match how your team actually estimates work.
Generate downstream-ready material summaries and show exactly what changed when addendums land, including quantity and bid-impact deltas.
Most tools stop at extraction. Bid Bunny is built around an AI agent that works through plan sets, exposes its output for review, and keeps getting better as your team adds more projects, corrections, revisions, and final bid knowledge into the system.
The app is AI native from the first step. An agent interprets engineering drawings, extracts quantities, and prepares structured takeoff data for estimator review.
Nothing is hidden behind a black box. Confidence scoring, traceability, revision compare, and source-linked review keep experienced teams in control.
Completed jobs, corrections, and new bid packages can be added to the RAG knowledge base so future bids start with more context and stronger precedent.
Bid Bunny turns past work into usable estimating memory. Instead of losing lessons inside folders, the platform can recall relevant projects and patterns when a new opportunity arrives.
Purpose-built for utility-scale solar and EBOS workflows. Bid Bunny uses an AI agent to work through plan sets and generate structured extraction output, not generic OCR dumps.
Validate where every number came from. Estimate outputs link back to source sheets, symbols, vectors, and drawing elements — completely auditable.
Configure labor assumptions, materials, assemblies, exclusions, and output logic. Your team's estimating logic, systematized at scale.
Updated plan sets or addendums arrive — Bid Bunny identifies what changed and shows exact impact on quantities and bid assumptions in real time.
The platform shows where the agent is highly reliable and where reviewer approval is needed, so your team spends time on edge cases instead of rechecking everything.
Over time, Bid Bunny improves through estimate revisions, customer corrections, and historical projects added to the RAG system so useful context compounds instead of disappearing.
This is not about replacing estimators. It's about giving experienced teams an AI-native operating layer that removes repetitive extraction work, keeps reviewability intact, and compounds project intelligence over time.
Bid Bunny fits into your existing workflows and business model. From enterprise software to API integrations to managed services, with customer-specific configuration and an expanding project-memory layer.
Full enterprise deployment with customer-specific configuration, dedicated support, and ongoing improvement cycles.
Structured paid partnerships to calibrate Bid Bunny to your operating environment, labor strategy, and review requirements.
Integrate Bid Bunny directly into your existing estimating platform, ERP, or enterprise systems via API.
White-label private environments for large contractors who need branded, isolated deployments with custom configuration.
Bid Bunny-powered managed services for teams that want the output without managing the platform directly.
Focused revision-analysis and quality assurance offerings for teams managing complex multi-addendum bid cycles.
We're selectively working with a small number of design partners to calibrate Bid Bunny against real-world utility-scale solar workflows, train the agent on live use cases, and expand the RAG project memory with production bid data. If you're an EPC or EBOS contractor ready to move faster and smarter, let's talk.