// INVESTOR BRIEFING — 2026

AI Data Infrastructure
for Architecture & AEC Firms

We turn your firm's decades of project data into a personalized AI that knows your practice — your design language, your project types, your standards, your clients.

"Your data is your future AI — and right now, that future is sitting in a folder called Untitled_Project_FINAL_v3."

A $16 trillion industry flying blind. The data gap in AEC is one of the largest untapped AI opportunities in enterprise.

$16.3T

Global AEC market size

McKinsey, 2025

91%

Enterprise data inaccessible to AI

Cloudera, 2025

50%+

A&E firms now using AI in BD

OpenAsset, 2025

189%

Growth in AEC cloud data mgmt

Nasuni, 2025

What Architecture Firms Have —
And Can't Use

BIM Files (Revit .RVT)

Parametric models with spatial, material & structural data — locked in proprietary formats not designed for AI ingestion.

Drawing Archives

CAD drawings & PDFs spanning decades of practice — sitting in unindexed folder structures with zero metadata.

Visual Data

Site photos, drone footage, renderings & point clouds — thousands of multimodal assets with no semantic organization.

Document Libraries

Specs, RFIs, submittals, contracts, correspondence — text-rich but completely unstructured and unsearchable.

Material & Product Databases

Proprietary curated material libraries — valuable IP with no AI interface and no cross-project intelligence.

Project Knowledge

Decision logs, design rationale, lessons learned — stored in human heads or buried in email chains.

A 12–24 Month Window Before
Platforms Consolidate

01

Open Formats Have Stabilized

Parquet, Iceberg & LanceDB provide proven AEC data architectures — the foundation exists today.

02

The Market Knows the Problem

IDC only began organizing an industry-standard approach in late 2025. There is no dominant solution yet.

03

Cloud Without AI-Readiness

81% of AEC firms run hybrid cloud but lack the AI-readiness layer on top.

04

Security Is a Boardroom Priority

76% of AEC firms experienced a cyberattack in the past year. Data governance has budget.

05

The Win Rate Gap Is Proven

AI-assisted firms win proposals at 50% vs. industry average. The ROI case is already made.

No Competitor Occupies Our Intersection

CompetitorWhat They DoWeaknessOur Edge
NasuniAEC hybrid cloud storage. 8 of top 10 US firms.Infrastructure only — no AI personalization, enterprise pricing onlyWe add the intelligence layer they cannot offer
Autodesk / ACCBIM platform. Holds data behind proprietary walls.Vendor lock-in, no data lake exports, kills small firms on pricingWe liberate data from Autodesk's walled garden
Databricks / SnowflakeEnterprise data lakehouse. General purpose.No AEC domain knowledge, costs $500K+, needs dedicated data teamManaged service with architectural fluency — no team needed
Generic ConsultantsAWS/Azure data specialists. Treat BIM like ERP.Zero architecture domain knowledge, no multimodal capabilityWe understand what a Revit schedule IS and means
Speckle / xBIMOpen-source BIM extraction tools. Dev-facing.Requires in-house dev team, no AI layer, no managed serviceFull managed stack from extraction through AI deployment
Our Moat: SCI-Arc training + USC Affective Computing + Proven AI company leadership = An intersection no competitor can quickly replicate.

The Architect's AI Partner

"We turn your firm's decades of project data into a personalized AI that knows your practice — your design language, your project types, your standards, your clients — and puts it to work for business development, design intelligence, and operations."

Architect-Led

SCI-Arc trained. We speak your language as a peer, not a consultant.

True AI Infrastructure

Full data lake — not a chatbot on PDFs. Real architecture for your architecture.

Managed Service

No in-house data team required. We own and run it for you.

Three-Tier Offering — Every Entry Point

Tier 1
Data Audit & Roadmap
$8K – $15K

Assess current data assets, identify AI opportunities, deliver a structured roadmap. The ideal low-friction entry point.

Current data landscape assessment
AI opportunity identification
Structured architecture roadmap
Quick wins & risk analysis
Tier 3
Personalized AI Retainer
$3,500 – $8,000/mo

Ongoing model retraining, new project ingestion, AI feature expansion — proposals, code compliance, design recall.

Continuous model retraining
New project data ingestion
Proposal & compliance AI
Quarterly strategy sessions
ARR target per Tier 3 client: $42K – $96K  |  Goal Day 90: 1 retainer signed + 2 Tier 1 audits in progress

Five Hooks That Open Every Conversation

01

Knowledge Loss

"When your most experienced architect leaves, do they take 15 years of project knowledge? We build a system that captures that knowledge before they walk out the door."

02

The Proposal Grind

"Your BD team spends 40 hours on every RFP. Our AI does that search in 30 seconds — and knows which past projects are actually relevant to this specific client."

03

Data Hostage Situation

"Autodesk owns 20 years of your project data. We give you data sovereignty — your knowledge on your terms, not theirs."

04

The Competitive Gap

"AI-assisted firms win proposals at 50% vs. industry average. Your competitors are already there. We fix that in 90 days."

05

The Visual Archive Problem

"You have thousands of photos from every project. None are searchable. We make your entire archive findable in plain English."

Start Where Our Dual Identity Creates Instant Credibility

TargetContactHookWhy Now
Mid-Size LA Firms (20–150 staff)CTO / Managing Partner"As architects ourselves we've been inside your server."SCI-Arc network — direct warm intro access
Boutique Firms with Strong HistoryFounding Principal"Your 30-year archive is invisible to AI."Founding partners feel knowledge-loss most acutely
BIM Managers & Digital Practice LeadsBIM Manager / Digital Lead"We build the AI layer you've been asked to build."They know the problem and have budget influence
Architecture Schools & Research LabsDean of Technology"Academic data + AI pipeline = grant-worthy research."SCI-Arc connection: already in this ecosystem
Real Estate Developers (In-House Design)VP Real Estate Technology"You're leaving money on the table without AI."Higher budget, faster decision cycle

First 90 Days — From Network to Revenue Flywheel

Days 1–30

Land the First Client

  • Target 3 LA firms from SCI-Arc network for free Data Audit
  • Goal: 1 paid engagement + 1 detailed case study
  • Launch nexushestia.com as primary credential
  • Record 5-min "What architects are losing" for LinkedIn
Days 31–60

Validate the Model

  • Complete paid engagement; extract metrics & testimonial
  • Speak at one AEC event — even a local AIA chapter
  • Refine pricing based on first client friction
  • Build 1-page case study: "AI-ready in 60 days"
Days 61–90

Scale the Pipeline

  • Target 3 Tier 2 engagements ($45K–$120K)
  • Pitch first Tier 3 retainer to best client
  • Apply to speak at BILT NA 2026 or AIA Conference
  • Begin affiliate relationships with BIM consultants
Goal by Day 90: 1 signed retainer ($3,500–$8K/mo) + 2 Tier 1 audits in progress + speaking engagement booked = Foundation ARR of $42K–$96K

The Moat No Competitor Can Quickly Replicate

01

We Speak Architect

SCI-Arc training means we understand what a Revit family IS, what a spec section means. No general data consultancy can fake this.

02

We Understand Affective Systems

Our USC Affective Computing background means AI systems designed around how designers actually think — not how engineers assume.

03

We Teach It

Teaching across Southern California's top architecture programs gives us a constant pipeline of emerging architects, connected students, and new companies. A distribution channel no competitor can buy.

04

We Have Working Products

Nexus Hestia is a live company with deployed infrastructure today — not a consultancy promising future capability.

Deployed & Working Today

Semantic Search Relevance Scoring Category Labels AI Descriptions Human-in-the-Loop

Natural Language Search

Search your project archive in plain English — "hotel" or even partial words like "construc…" — and get semantically relevant results with relevance scoring, category labels, and AI-generated descriptions.

Ollama · ChromaDB · SQLite

Autonomous Sorting + HITL Editor

Real-time processing with autonomous cataloguing — plus a Human-in-the-Loop editor for description adjustments. Both systems running entirely on localhost with zero cloud dependency.

On-premise · Air-gapped · Zero cloud dependency

Architect + AI Engineer + Cybersecurity

NB

Natasha Bajc

Co-Founder & CEO
M.Arch, SCI-Arc (Algorithmic Design) M.CS USC (Affective Computing) Executive Ed: Harvard Business + GSD Venice Biennale '18 · Beijing Biennale '25 30+ years running architectural practice Large-scale international projects Architecture educator · TEDx speaker
MS

Mudassar Shaikh

Co-Founder & Technology Lead
AI Engineer, Advanced Technology Group Sony Pictures Entertainment Full-stack AI/ML pipeline development Enterprise data architecture ML model deployment at scale Production systems engineering
AL

Aleksandar Lazarevic

Cybersecurity Advisor
IT Security & Systems Architecture Enterprise infrastructure security Air-gapped deployment expertise Data governance & compliance Network security architecture On-premise security hardening
Domain expertise + AI engineering + security hardening — the full stack for on-premise enterprise AI.
Nexus Hestia

Your data is your future AI —
Start using your unfair advantage.

We're ready to show you what's possible. Start with a Data Audit and see what your firm's data can become.

natasha.bajc@nexushestia.com