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Ediphi

Cloud-based preconstruction estimating and cost management platform

Ediphi centralizes construction cost estimating, cost modeling, bid leveling, and buyout tracking in a single cloud platform for commercial general contractors, replacing spreadsheet-based preconstruction workflows.

$18.5M ($6.5M seed + $12M Series A) raisedGrowth Stage
Founded 2023 · Paying customer base grew 10x in 2024; named customers include Suffolk Construction, DPR Construction, Hensel Phelps, Landry/French, Stevens Construction, and Wright-Ryan Construction (exact customer count not disclosed)
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Why This Tool Exists

The Problem

Commercial general contractors run preconstruction estimating in disconnected spreadsheets, losing historical cost data between projects and re-building conceptual and detailed estimates from scratch for every new bid.

The Solution

Ediphi centralizes historical cost data, cost modeling, and estimating in the cloud. Teams build estimates from geometry-based area sheets with dynamic formulas that auto-update as designs change, reference benchmark costs automatically adjusted for time and location, and generate bid packages, bid leveling comparisons, and buyout tracking without leaving the platform.

How You Use It

Delivery Method
SaaSMobile App (iOS/Android)
Integrations
Togal.AIBuildingConnectedOnScreen TakeoffExcel (Microsoft AppSource add-in)
Project Phases
Preconstruction, Bidding, Construction Administration
Project Types
Commercial, Institutional

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Historical project cost data, Building geometry/design documents
Optional:Quantity takeoff data (via Togal.AI integration), Regional labor/material pricing, Project scope details
Formats:XLSX, PDF, CSV
Output
What you get
Format:Cost estimates and bid packages
Fields:Conceptual and detailed cost estimates, Bills of quantities, Bid leveling comparisons, Buyout tracking, General conditions/general requirements (GC/GR) schedules, Custom PDF and Excel reports
Algorithm
How it works
Model:Not publicly specified (proprietary cost modeling engine; company does not describe it as machine learning)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Personal data retained "only as long as necessary" per generic privacy policy template; no specific retention timeframe disclosed
Training:Not publicly specified
Compliance:Not publicly specified — no SOC 2, ISO, or GDPR certification found on official sources
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Conceptual and detailed cost estimating for commercial general contractors
  • ·Cost modeling using historical benchmark data adjusted for time and location
  • ·Bid package generation and subcontractor bid leveling
  • ·Buyout tracking and general conditions/requirements management
  • ·AI-powered quantity takeoff via Togal.AI integration feeding directly into estimates

Pricing

Free
No free trial or free version (per Capterra listing)
Pro
Standard plan: $3,600/user/year, minimum team of 5-10 users
Enterprise
Custom pricing for larger teams; subscriptions require a minimum of 3 users
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Research Sources & Data QualityLast verified: 2026-07-17
Verified Data (10)
problem, solution, deliveryMethod, integrations (Togal.AI, BuildingConnected, OnScreen Takeoff, Excel), yearFounded (2023, emerged from stealth), headquarters (Boston), fundingTotal ($6.5M seed + $12M Series A), customerBase (10x growth 2024, named ENR Top 400 customers), pricing (Standard plan $3,600/user/year), founders (Dustin DeVan, Mike Navarro)
Not Found (6)
algorithm/model details, accuracy metrics, compliance certifications (SOC 2/ISO/GDPR), API documentation, exact employee count, specific data retention timeframe
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.