Artificial Intelligence
A private AI platform that transforms years of AEC proposal data into an intelligent knowledge system, enabling teams to draft, analyze, and quality-check RFP responses 30-40% faster.

Joist AI

Product Overview

The Problem It Solves

Current State: The Proposal Pain Spiral

AEC marketing teams face the same frustrating cycle with every RFP deadline:

  • Hunting and pecking through shared drives, multiple CRMs, and past proposals to find relevant content
  • Recreating the wheel for each response, even when similar work has been done before
  • Information silos across offices, departments, and project management systems
  • Tight deadlines (30-40 hours per proposal) with multiple concurrent submissions
  • Quality risks as content bounces between marketing, field teams, and subject matter experts
  • No time for strategy — teams spend their energy assembling content rather than crafting winning narratives

How Joist Changes It

Joist AI functions as a private ChatGPT trained exclusively on your firm's data. It reads through 3-5 years of proposals (processing 3,000+ proposals in under 3 hours), then creates a searchable, conversational knowledge base organized around your people, projects, and companies.

Value proposition: Instead of spending 70% of your time hunting for content, Joist delivers it instantly — then helps you draft, customize, and quality-check responses while your team focuses on strategy and creativity.

What Area of AEC

  • Primary users: Architecture, Engineering, and Construction firms (true cross-sector coverage)
  • Specific workflow: RFP/RFQ response and proposal development
  • Secondary applications: Marketing content creation, knowledge management, business development enablement
  • Project type focus: Particularly strong for public sector work (city, state, county, federal) with complex, detail-heavy requirements; also effective for private sector letter proposals

The Demo: How It Works

Core System Architecture

Joist operates as a Marketing Operating System (or "Revenue Intelligence Platform") built on three foundational capabilities:

  1. Knowledge Graph Creation — Automated content intelligence
  2. AI-Powered Drafting — RFP analysis and response generation
  3. Quality Assurance — Compliance checking and brand safety

Key Features

Key Features

Feature 1: Intelligent Knowledge Base (Content Enablement)

Pain point solved: "When did I last write this? What was that project called? Who updated the file last?"

How it works:

  • Drag and drop 3-5 years of proposals, resumes, case studies, award submissions, boilerplate copy — any text-based marketing content
  • Joist automatically annotates and classifies every page into objects: cover letters, technical writeups, project descriptions, bios, etc.
  • Creates a Google-like search experience drilling down to the exact page, paragraph, and word
  • Contextual grouping: When Joist sees a person's bio in 5 different proposals, it automatically groups them with their master resume (opposite of traditional CRM — AI does the heavy lifting)
  • Chat interface: Ask questions like "When was the last time we worked on a hospital project in the Midwest under $50M?" and get instant answers with source documents

Live interaction capabilities:

  • Highlight old content and transform it: "Make this 800 words," "Rewrite from first person to second person," "Take old, make it new"
  • Pull lookalike projects with AI-generated reasoning for why they're relevant
  • Generate lists of past work by region, cost range, market sector, or technical capability

Feature 2: RFP Analysis & Smart Drafting

Pain point solved: Massive RFPs with tight deadlines and complex requirements that require coordination across multiple teams

RFP Analysis capabilities:

  • Upload incoming RFPs (any size) — system breaks them down in minutes
  • Generates: summary, scope, key dates, evaluation criteria, legal forms needed, technical proposal outline
  • Automatic RFI generation: Flags conflicting information or unclear requirements
  • Pain points identification: Thematic analysis of what the client cares about most
  • Compliance matrix creation: Track requirements for final review
  • Custom templates: Upload your firm's go-no-go criteria, risk assessment frameworks, or legal review checklists

Smart Draft workflow:

  • Feed Joist the RFP + optional go-by proposals + instructions + addendums
  • System builds a complete storyboard with 100+ micro-prompts (one per section)
  • Review and adjust the outline before generation — you maintain strategic control
  • Generates 40-50% rough draft within minutes, pulling from your historical content and matching it to RFP requirements
  • Project matching: Automatically recommends relevant past projects from your library with reasoning

Collaboration features:

  • Multiple team members across offices work on the same draft simultaneously
  • Real-time visibility into who's working on what
  • Central dashboard tracking project title, client, market sector, submission date, strategy notes

Custom personas: Create different "voices" for public vs. private work, or by market sector

Feature 3: Quality Assurance & Compliance

Pain point solved: Errors slip through when content bounces between marketing, field teams, and designers under deadline pressure

Compliance checking:

  • Match draft proposal to original RFP — "pre-grade your test"
  • Flags missing requirements: legal forms, mailing addresses, specific questions not answered
  • Rates each section with constructive feedback (e.g., "8/10 on risk management — here's what's missing")

Quality analysis:

  • Spelling and grammatical error detection
  • Win strategy assessment and firm differentiator identification
  • Coherence ratings by section
  • Cross-proposal benchmarking: Compare how you addressed a topic (e.g., risk management) across the last 6 months to find better examples

Brand safety: Ensures responses stick to brand guidelines and writing style based on your historical content

Used By

Target Customers

Primary Target Customers

By Firm Type:

  • Architecture firms (30 to 10,000+ employees)
  • Engineering firms (civil, structural, MEP, etc.)
  • General Contractors (mid-to-large, $500M-$10B annual revenue range)

By Proposal Volume/Complexity:

  • Firms with high RFP response volume (multiple concurrent deadlines)
  • Companies pursuing public sector work (city, state, county, federal) with complex, detail-heavy requirements
  • Firms handling private sector proposals (letter proposals, ongoing client relationships)
  • Organizations with 30-40 hour proposal cycles that need compression

Trusted by Leading Organisations

HENSEL PHELPS
“Owner bid forms are a pain and preconstruction is left with figuring out all of this information in the last mile, putting together our bids from trade partners and our numbers. Ediphi is the next generation of estimating platforms and the Excel Add-in is a snappy workflow.” - Kyle Bonde: Senior Estimator,Hensel Phelps.

DPR CONSTRUCTION
“After extensive evaluation, including over three years of research and pilot programs among leading estimating tools, Ediphi stands out for its robust, cloud-based approach to the preconstruction life cycle.” - Alan Watt: A preconstruction technology leader at DPR Construction.

WR
“Since transitioning to Ediphi from Sage Estimating, we have observed a significant improvement in our ability to generate estimates and utilize data for future construction projects. This switch has saved us considerable time. Although we have only been customers for a short period, the more I use the software, the more impressed I am. The capability to customize our reports and create high-end proposals will undoubtedly benefit us in our future project pursuits.” - Brian Labossier: Senior Estimator at Wright-RyanConstruction.customise our reports and create high-end proposals will undoubtedly benefit us in our future project pursuits.” - Brian Labossier: Senior Estimator at Wright-Ryan Construction.

SUFFOLK
“I recently did a study comparing our estimating team’s performances from pre-Ediphi to now. We increased revenue per estimator by $20 million and the return on investment was 1,900 percent. I’ve never seen anything like that. That’s in addition to the other efficiencies we’re seeing as we roll out Ediphi at a national level.” - Scott Menard: National Director of Preconstruction atSuffolk Construction

Operating Locations

Primary market: United States

Emerging: Canada, Ireland, United Kingdom (early testing phase)

Implementation & Onboarding

Important Considerations

Affected Workflows

Primary Workflows (Direct Impact)

  • RFP/RFQ response process — from go-no-go through submission
  • Proposal content assembly — search and retrieval from historical documents
  • Quality assurance and compliance checking — red team/color review process
  • Knowledge management — organizational memory for projects, people, capabilities
  • Marketing content creation — resumes, project descriptions, case studies, boilerplate

Secondary Workflows (Indirect Impact)

  • Business development research — finding relevant past work for pursuits
  • New hire onboarding — knowledge transfer from historical proposals
  • Cross-office collaboration — standardization across distributed teams
  • Client relationship management — quick access to past work for specific clients
  • Strategic planning — analyzing win themes and differentiators across proposals

Adoption Timescale Summary

Phase 1: Technical Setup (Day 1)

Timeline: 1 day
Activities:

  • Upload 3-5 years of proposals and marketing content
  • System processes and indexes (3,000 proposals = <3 hours)
  • Basic search/chat functionality live

Success Indicator: Marketing team can search and find historical content same day

Phase 2: Core User Adoption (Weeks 1-4)

Timeline: 4 weeks
Activities:

  • Marketing team uses for first 2-3 active RFPs
  • Fine-tune AI classifications and brand guidelines
  • Upload boilerplate libraries and custom templates
  • Begin CRM integration setup (if applicable)

Expected Challenges:

  • Learning curve on effective prompting
  • Trust-building with AI outputs (checking accuracy obsessively)
  • Breaking old habits (still going to shared drives first)

Success Indicators:

  • 80% of marketing team logging in daily
  • First measurable time savings on RFP (tracking before/after)
  • Team stops asking "where did we write this before?"

Phase 3: Workflow Integration (Months 2-3)

Timeline: 8 weeks
Activities:

  • Proposal coordinators and biz dev team onboarded
  • Multi-user collaboration on proposals becomes standard
  • Custom personas created (public vs. private project voices)
  • Integration with existing RFP workflow fully embedded

Expected Challenges:

  • Coordinating multi-user editing (learning collaboration features)
  • Determining when to use Joist vs. manual drafting
  • Managing expectations on draft quality (40-50% is starting point, not finished product)

Success Indicators:

  • 30%+ time savings documented on 5+ proposals
  • No proposals submitted without using Joist for QC
  • Users proactively suggesting new use cases

Phase 4: Enterprise Expansion (Months 3-6)

Timeline: 12 weeks
Activities:

  • Secondary users join: PMs, architects, engineers, field leaders
  • Knowledge base use cases beyond proposals (BD research, client prep)
  • Additional offices/regions onboarded (if multi-office firm)
  • Feedback loop established: completed proposals automatically added back

Expected Challenges:

  • Resistance from field teams ("I don't do proposals")
  • Explaining value for non-marketing users
  • Maintaining data quality as more users contribute

Success Indicators:

  • 20%+ of non-marketing staff using as knowledge database
  • Proposal capacity increases without adding headcount
  • New hires reference Joist in first week

Phase 5: Optimization & Maturity (6+ Months)

Timeline: Ongoing
Activities:

  • Continuous improvement of custom templates and personas
  • Advanced features adopted (cross-proposal benchmarking, win theme analysis)
  • System becomes "single source of truth" for firm knowledge
  • ROI measured and reported to leadership

Expected State:

  • Joist integrated into DNA of proposal and marketing operations
  • Users can't imagine working without it
  • Knowledge base grows organically with each submission

Success Indicators:

  • 30-40% time savings consistent across all proposals
  • Win rate improvements measurable (though hard to isolate)
  • Zero proposals submitted without Joist QC
  • Competitor/peer firms asking "how do you turn proposals so fast?"

Security & Privacy

Won top award for privacy in 2025

Integrations

ROI & Value

Primary metrics:

  • 30-40% time savings per proposal (industry standard: 30-40 hours per RFP response)
  • Peace of mind — reduced errors, missed requirements, and deadline stress

Downstream impacts:

  • More time for strategic thinking, creativity, and presentation quality
  • Ability to pursue more opportunities without adding headcount
  • Standardization across multiple offices and lines of service
  • Faster onboarding for new marketing team members (knowledge no longer siloed in people's heads)
  • Better win rates through more thorough, compliant, strategically crafted responses (Note: Win rate improvement metrics not provided in demo)

How they measure success:

  • Time tracking: hours per proposal before/after
  • User adoption rates across the firm
  • Number of proposals submitted (capacity increase)
  • Compliance scores and error reduction

Founding Team

Dustin DeVan (CEO and founder of Ediphi): Dustin began his career as a general contractor, spending six formative years in the field. This experience deepened his passion for construction and sparked his ambition to improve preconstruction workflows. He founded Building Connected, a preconstruction platform, which Autodesk acquired for $275 million—a landmark validation of the market need. With Ediphi, Dustin is continuing this mission to transform how GCs approach estimating and cost planning.
https://www.linkedin.com/in/dustind01/

Michael Navarro (CTO & Co-founder): Mike brings 20 years of preconstruction and operations leadership from Suffolk Construction and custom home building. In 2017, while leading Suffolk's regional estimating team, Mike identified a critical gap in available platforms. He spearheaded the development of a custom solution that was adopted nationwide, generating $20M in additional revenue per estimator. Mike's hands-on experience with the pain points GCs face, combined with his proven ability to build and scale solutions, drives Ediphi's product vision. https://www.linkedin.com/in/michael-navarro-94440016/

Funding

Total Raised

$4 Million

Seed

Investors

Building Ventures

Leading Built Environment VC Firm

About the Company

Product Demo

Alternative Solutions

Comming soon

Trusted by Leading Construction Companies

No items found.
Join Industry Leaders

More demos:

Ediphi - Pre-Construction Estimating & Cost Modeling Platform
Learn More
Learn More
Buy equipment smarter and create new revenue streams with BuildVision's procurement network
Learn More
Learn More
See demo library
chevron right icon
up arrow