Tyce

The AI Agent that helps you craft the smartest deals, contracts, and documents in seconds for the built world.

Website: https://www.tyce.ai/

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Attribute Value
Name Tyce
Tagline The AI Agent that helps you craft the smartest deals, contracts, and documents in seconds for the built world.
Headquarters Toronto, Canada
Founded 2025
Stage Pre-Seed
Business Model SaaS
Industry Other (Construction, Civil Engineering, Architecture)
Technology AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Founding Team Lylia Djait-Paulien, Keyu Long

Links

Executive Summary

Tyce is positioning itself as an AI-native intelligence layer for the complex document workflows of construction, civil engineering, and architecture firms. Founded in 2025, the company is developing an agent that transforms a firm's historical project archive into a searchable, generative knowledge system to automate the creation of proposals, contracts, and estimates [Tyce, retrieved 2024], [Formwork Labs, retrieved 2026]. The founding story centers on Lylia Djait-Paulien, who left a product leadership role at a developer tools company to build a platform that addresses the institutional knowledge fragmentation she observed in infrastructure projects [Nadia Djait on LinkedIn, retrieved 2026], [Lylia Djait-Paulien on LinkedIn, retrieved 2026]. The core product differentiates from generic AI tools through its deep, multi-document contextual understanding and industry-specific workflows, such as benchmarking new estimates against weighted historical data [Tyce, retrieved 2024].

The company's participation in the Formwork Labs accelerator's 2026 cohort confirms its pre-seed, venture-scale stage and SaaS business model [Formwork Labs, retrieved 2026]. The founding team includes Djait-Paulien as CEO and Keyu Long as CTO [Keyu Long on LinkedIn, retrieved 2026], [Founders Network, retrieved 2026]. Over the next 12-18 months, the key signals to watch are the disclosure of a first institutional funding round, the announcement of named design partners or initial customers, and the evolution of its competitive positioning against established players like Document Crunch.

Data Accuracy: YELLOW -- Product claims and team composition are confirmed via company sources and founder profiles; funding and commercial traction remain unverified.

Taxonomy Snapshot

Axis Classification
Stage Pre-Seed
Business Model SaaS
Industry / Vertical Other (Built World / AEC)
Technology Type AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Founding Team Solo Founder

How the Company Got Here

Tyce emerged in 2025 as an AI-native platform targeting the document-intensive workflows of construction, civil engineering, and architecture firms. The founding narrative, articulated by CEO Lylia Djait-Paulien, positions the company as a response to the fragmented and manual nature of institutional knowledge in the 'built world,' where critical data is buried across thousands of project documents [Tyce, retrieved 2024]. The company is headquartered in Toronto, Canada, and was part of the fifth cohort of the Formwork Labs accelerator in 2026 [Formwork Labs, retrieved 2026].

Co-founders Lylia Djait-Paulien and Keyu Long lead the company, with Djait-Paulien serving as CEO and Long as CTO [Founders Network, retrieved 2026], [Carta, retrieved 2026]. Djait-Paulien's background includes a product leadership role at LayerCI (later Encore.dev) [Lylia Djait-Paulien on LinkedIn, 2022].

Key early milestones are limited to its public launch and accelerator participation. The company listed its product on Product Hunt in 2025, describing its core functionality as an AI agent for intelligent documents [Product Hunt, 2025].

Data Accuracy: YELLOW -- Company website and accelerator announcement provide foundational details; founding team roles are corroborated by multiple professional network sources. No independent third-party verification of incorporation or operational milestones.

Product and Technology

Tyce's core proposition is an AI-native document intelligence platform. The system is designed to ingest a firm's archive of past projects, proposals, and contracts to create a "living, intelligent library" [Tyce, retrieved 2024]. This foundational capability allows the platform to perform context-aware searches and generate new documents that are consistent with a company's historical work and institutional knowledge.

The product surfaces through several key workflows. Users can search across their entire document library and ask specific questions about the content within those files [Perplexity Sonar Pro Brief, retrieved 2024]. From this context, Tyce can automatically generate new professional documents, including contracts, proposals, and forms, or auto-fill existing templates [Perplexity Sonar Pro Brief, retrieved 2024]. The built-in AI editing tools are positioned to make "smart" edits that reference information across multiple documents simultaneously [Perplexity Sonar Pro Brief, retrieved 2024]. For its target market in architecture, engineering, and construction (AEC), the platform specifically indexes bids, RFPs, and contracts to help firms win new business, and includes an AI estimating engine that benchmarks new project estimates against weighted historical data [Tyce, retrieved 2024].

Data Accuracy: YELLOW -- Product claims are consistently described across the company's owned channels and a detailed third-party brief, but independent technical validation or user reviews are not yet available.

Where the Demand Sits

The market for AI-driven document intelligence in construction and engineering is emerging from a critical need to unlock value from the industry's most persistent and costly asset: its own historical data. The 'built world' sector is characterized by project-based work where institutional knowledge is fragmented across thousands of documents, from initial bids to final contracts.

Metric Value
Construction Management Software 2023 12.6 $B
Construction Management Software 2028 23.5 $B
AI in Construction 2023 1.1 $B
AI in Construction 2028 8.6 $B

The growth in these adjacent markets is driven by several tailwinds that directly benefit a solution like Tyce. A persistent labor shortage in skilled construction and project management roles increases pressure to do more with fewer people [Associated Builders and Contractors, 2023]. Furthermore, the industry is undergoing a digital transformation, spurred by the adoption of Building Information Modeling (BIM) and cloud collaboration platforms. The push for sustainability and stricter regulatory reporting also demands more rigorous documentation and data traceability across project lifecycles.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, third-party industry reports; specific TAM for AI document intelligence in AEC is not publicly available.

Competitive Landscape

Tyce enters a market where document workflow pain is well-established, but its approach of layering AI directly onto a firm's historical project archive creates a distinct point of entry.

Competitive Map by Segment

The competitive field for document intelligence in the built world can be segmented into three categories. The first comprises established, dedicated AEC document management platforms like Document Crunch, which focuses on contract review and risk analysis using AI [Document Crunch]. The second category includes broad-based enterprise content management and collaboration platforms, such as Egnyte, which offer secure file storage and sharing with some AI features [Egnyte]. The third and largest category consists of generic AI writing and editing tools, like ChatGPT or Claude, which are free or low-cost substitutes for drafting but lack the contextual understanding of a firm's specific project history.

Defensible Edge and Durability

Tyce's current edge is its specific focus on the multi-document, contextual workflows of construction and engineering firms. The platform is designed to index bids, proposals, and contracts to turn institutional knowledge into a tool for new pursuits [Tyce, retrieved 2024]. Participation in the Formwork Labs accelerator provides industry connections [Formwork Labs, retrieved 2026].

Exposure and Vulnerabilities

The company is exposed on several fronts. Its most direct named competitor, Document Crunch, has a head start, established partnerships (e.g., with Trimble), and a clear focus on the legal and risk layer of construction documents [Private Candid Take].

Plausible 18-Month Scenario

In a plausible 18-month scenario, the winner will be the company that successfully converts early design partners into referenceable, paying customers and expands its solution beyond a single point tool. If Tyce can demonstrate that its AI estimating engine, which benchmarks against historical data, directly improves win rates or margin accuracy for a handful of named firms, it could secure a beachhead [Tyce, retrieved 2024].

Company Positioning Stage / Funding Notable Differentiator Source
Tyce AI-native document intelligence & generation for construction/engineering firms. Pre-Seed / Accelerator (Formwork Labs). Contextual generation from a firm's own project archive; industry-specific AI estimating engine. [Tyce, retrieved 2024], [Formwork Labs, retrieved 2026]
Document Crunch AI-powered contract review and risk analysis for construction. Venture-backed; has partnerships (e.g., Trimble). Focus on contract compliance and risk mitigation, a proven, high-stakes use case. [Document Crunch], [Private Candid Take]
Egnyte Secure enterprise content collaboration & governance platform. Later-stage; provides file storage with AI features. Broad platform for secure file management across industries, not AEC-specific generation. [Egnyte]

Data Accuracy: YELLOW -- Competitor identification is confirmed, but detailed comparative metrics (funding, market share) are not publicly available for this early-stage segment.

Opportunity

The prize for Tyce is the automation of a multi-trillion-dollar industry's most knowledge-intensive, repetitive, and high-stakes workflows. The platform's stated ability to index bids, proposals, RFPs, and contracts to activate institutional knowledge on new pursuits directly targets a core pain point: the loss of expertise and historical data between projects [Tyce, retrieved 2024].

Scenario What happens Catalyst Why it's plausible
Vertical SaaS Dominance Tyce becomes the mandatory proposal and estimating engine for mid-sized AEC firms. A strategic partnership or integration with a major construction management software platform. The product's AI estimating engine, which benchmarks against weighted historical data, is a direct value-add [Tyce, retrieved 2024].
Enterprise Intelligence Platform The product is adopted as a centralized knowledge system by large engineering conglomerates. A lighthouse customer in the Top 10 ENR list publicly attributes a major contract win to Tyce. The platform's multi-document search and contextual generation are built for complex, multi-project environments [Perplexity Sonar Pro Brief, retrieved 2024].

Data Accuracy: YELLOW -- Opportunity analysis is based on company claims and product positioning; market size and comparable outcomes are inferred from industry context rather than direct company metrics.

Sources

  1. [Tyce, retrieved 2024] Tyce | The Intelligence Layer for the Built World | https://www.tyce.ai/
  2. [Formwork Labs, retrieved 2026] Formwork Labs 2026 Cohort Announcement | https://www.formworklabs.com/cohorts/2026
  3. [Nadia Djait on LinkedIn, retrieved 2026] Nadia Djait LinkedIn Post | https://www.linkedin.com/in/nadia-djait/details/experience/
  4. [Lylia Djait-Paulien on LinkedIn, retrieved 2026] Lylia Djait-Paulien LinkedIn Profile | https://www.linkedin.com/in/lyliadjaitpaulien/
  5. [Keyu Long on LinkedIn, retrieved 2026] Keyu Long LinkedIn Profile | https://www.linkedin.com/in/keyulong/
  6. [Founders Network, retrieved 2026] Founders Network Profile | https://foundersnetwork.com/member/tyce
  7. [Carta, retrieved 2026] Carta Company Profile | https://carta.com/companies/tyce
  8. [Product Hunt, 2025] Tyce Product Hunt Listing | https://www.producthunt.com/products/tyce
  9. [Lylia Djait-Paulien on LinkedIn, 2022] Lylia Djait-Paulien LinkedIn Post on Carbon Capture Canada | https://www.linkedin.com/in/lyliadjaitpaulien/details/experience/
  10. [Carbon Capture Canada, retrieved 2026] Carbon Capture Canada Conference | https://carboncapturecanada.ca/
  11. [MarketsandMarkets, 2023] Construction Management Software Market Report | https://www.marketsandmarkets.com/Market-Reports/construction-management-software-market-21999498.html
  12. [Associated Builders and Contractors, 2023] Construction Labor Shortage Report | https://www.abc.org/News-Media/News-Releases/entryid/19279/abc-construction-contractor-optimism-dips-in-march-as-contractors-struggle-to-find-workers
  13. [Document Crunch] Document Crunch Website | https://www.documentcrunch.com/
  14. [Egnyte] Egnyte Website | https://www.egnyte.com/
  15. [Private Candid Take] Startuply Internal Analysis | [Internal source]

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