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/
Cover Block
PUBLIC
| 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
PUBLIC
- Website: https://www.tyce.ai/
- LinkedIn: https://ca.linkedin.com/company/tyce
- Product Hunt: https://www.producthunt.com/products/tyce
Executive Summary
PUBLIC Tyce is positioning itself as an AI-native intelligence layer for the complex document workflows of construction, civil engineering, and architecture firms, a niche that merits investor attention for its focus on a high-value, traditionally underserved sector. 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].
Capitalization is not publicly disclosed, but 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, bringing together product and technical leadership, though their specific experience in the built world is not detailed in public profiles [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 |
Company Overview
PUBLIC
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, a program focused on startups in the built environment [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), and she has spoken publicly on sustainability and climate data, indicating a thematic alignment with large-scale infrastructure projects [Lylia Djait-Paulien on LinkedIn, 2022], [Carbon Capture Canada, retrieved 2026]. The company's legal structure and incorporation details are not publicly disclosed.
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]. Beyond this, there are no publicly announced customer deployments, funding rounds, or significant partnership milestones.
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
MIXED Tyce's core proposition is an AI-native document intelligence platform, not a generic chatbot. The system is designed to ingest a firm's archive of past projects, proposals, and contracts to create what the company calls 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].
The underlying technology stack is not publicly detailed. The platform's description as an "AI Agent" and its reliance on multi-document search and contextual generation strongly suggests a foundation built on large language models (LLMs) and embedding-based retrieval systems. The focus on security and data isolation for enterprise clients is explicitly mentioned on the company's website [Tyce, retrieved 2024], which is a standard but necessary claim for handling sensitive project documents.
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.
Market Research
PUBLIC
The market for AI-driven document intelligence in construction and engineering is emerging not from a lack of tools, but from a critical need to unlock value from the industry's most persistent and costly asset: its own historical data. The 'built world' sector, encompassing architecture, engineering, and construction (AEC), is characterized by project-based work where institutional knowledge is fragmented across thousands of documents, from initial bids to final contracts. This creates a persistent operational drag, slowing proposal generation, inflating risk in estimates, and complicating compliance.
Quantifying the total addressable market for a niche AI platform like Tyce is challenging without direct third-party reports. However, the scale of the underlying problem can be inferred from adjacent markets. The global construction management software market, which includes document management as a core component, was valued at $12.6 billion in 2023 and is projected to reach $23.5 billion by 2028, growing at a compound annual rate of 13.3% [MarketsandMarkets, 2023]. More broadly, the global market for AI in construction specifically was estimated at $1.1 billion in 2023 and is forecast to reach $8.6 billion by 2028 [MarketsandMarkets, 2023]. These figures provide an analogous market size for the technology category Tyce operates within, though its specific wedge targets a narrower slice focused on document generation and intelligence.
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, making automation of document-heavy tasks a priority [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, which creates a more receptive environment for integrated AI tools. The push for sustainability and stricter regulatory reporting also demands more rigorous documentation and data traceability across project lifecycles, a process ripe for automation.
Key substitute markets pose both a threat and a validation of demand. Generic AI writing assistants and large language model APIs represent a broad, horizontal alternative, but they lack the industry-specific context and document structuring required for complex RFPs or contracts. Established project management and document management suites from vendors like Procore, Autodesk, and Oracle offer robust platforms but often treat documents as static records rather than interactive knowledge bases. Tyce's opportunity lies in positioning itself not as a replacement for these systems, but as an intelligence layer that sits atop them, extracting and activating the data they contain. Regulatory forces, particularly around contract compliance, safety documentation, and environmental reporting, are becoming more complex, creating a compliance tailwind for tools that can ensure consistency and auditability across document sets.
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
MIXED 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, if narrow, 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]. These are direct competitors for budget and workflow attention. 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 but lack deep, industry-specific document generation and intelligence [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, proprietary templates, and commercial terms.
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 not a general-purpose chatbot; it is designed to index bids, proposals, and contracts to turn institutional knowledge into a tool for new pursuits [Tyce, retrieved 2024]. This industry-specific data model and the promise of an AI-native editor that references a firm's own archive could create initial product stickiness. The durability of this edge, however, is perishable. It depends entirely on execution speed and data network effects. If Tyce can onboard design partners and accumulate proprietary document patterns and pricing benchmarks faster than competitors can build or buy similar vertical capabilities, the edge could solidify. Participation in the Formwork Labs accelerator provides industry connections but not a permanent moat [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]. This gives Document Crunch an incumbent's credibility in a critical, compliance-heavy function. Furthermore, Tyce does not currently own a distribution channel. It must build a sales motion from scratch against vendors with existing construction industry relationships. The broader threat is from horizontal AI platforms. If a company like Notion or Microsoft deeply integrates context-aware AI generation into its widely adopted productivity suites, it could address many of Tyce's use cases for general document creation, leaving only the most specialized estimating and proposal workflows as defensible niches.
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]. The loser in this timeframe would be a company that remains a feature rather than a platform. If Tyce's functionality is perceived merely as a smart template library, it could be easily displaced by a new feature from a larger document management incumbent. Conversely, if a horizontal AI tool like Coda or a strengthened Microsoft Copilot deeply ingests AEC-specific document structures, they could become the loser by failing to capture the nuanced commercial intelligence that vertical players like Tyce are targeting.
| 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
PUBLIC The prize for Tyce is the automation of a multi-trillion-dollar industry's most knowledge-intensive, repetitive, and high-stakes workflows, turning project history from a static archive into a dynamic, revenue-generating asset.
The headline opportunity is to become the category-defining intelligence layer for the built world, the default platform for generating, managing, and analyzing complex project documentation. This outcome is reachable because the company's wedge is not a generic AI tool but a system engineered for the specific document types and workflows of construction, engineering, and architecture firms. 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]. By focusing on turning an archive into a "living, intelligent library," Tyce is positioning itself as the system of record for a firm's project intelligence, a role with inherent stickiness and expansion potential beyond initial document generation.
Growth is not guaranteed to follow a single path. The company's early positioning and accelerator backing suggest several plausible, concrete routes to scale.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Vertical SaaS Dominance | Tyce becomes the mandatory proposal and estimating engine for mid-sized AEC firms, achieving 30%+ penetration in North America. | A strategic partnership or integration with a major construction management software platform (e.g., Procore, Autodesk Construction Cloud). | The product's AI estimating engine, which benchmarks against weighted historical data, is a direct value-add to existing project management workflows [Tyce, retrieved 2024]. Formwork Labs' focus on the built world provides relevant network connections [Formwork Labs, retrieved 2026]. |
| Enterprise Intelligence Platform | The product is adopted as a centralized knowledge system by large engineering conglomerates and infrastructure developers for all major bids and contracts. | A lighthouse customer in the Top 10 ENR list publicly attributes a major contract win to Tyce's efficiency gains. | Founder Lylia Djait-Paulien's engagement with industry conferences on sustainability and climate data indicates an understanding of enterprise-scale challenges [Carbon Capture Canada, retrieved 2026]. The platform's multi-document search and contextual generation are built for complex, multi-project environments [Perplexity Sonar Pro Brief, retrieved 2024]. |
Compounding success for Tyce would manifest as a data and workflow flywheel. Each new project ingested makes the AI's recommendations and generations more accurate and tailored to the firm's specific history, improving output quality and user trust. This creates a data moat; a competitor would need equivalent historical data from that specific company to match performance. Furthermore, as more documents are created and edited within Tyce, the platform becomes the primary workspace, increasing switching costs. The flywheel's first turn is evidenced in the product's own design, which is built to reference multiple documents for context and learn from a company's archive [Perplexity Sonar Pro Brief, retrieved 2024].
Quantifying the size of a win requires looking at comparable outcomes. Document Crunch, a named competitor also applying AI to AEC contracts, has established partnerships with industry giants like Trimble, validating the market's willingness to pay for AI-driven document intelligence. While a direct valuation is not public, the success of niche vertical SaaS companies in adjacent fields provides a benchmark. For example, Procore, a construction management platform, reached a market capitalization of over $10 billion following its IPO. If the Vertical SaaS Dominance scenario plays out, Tyce's addressable market would be a meaningful slice of the global AEC software market, which was valued at over $11 billion in 2023 and is projected to grow significantly (scenario, not a forecast). A successful execution could position the company for a high-value acquisition by a larger construction tech player or an independent path to a unicorn-scale valuation.
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
PUBLIC
[Tyce, retrieved 2024] Tyce | The Intelligence Layer for the Built World | https://www.tyce.ai/
[Formwork Labs, retrieved 2026] Formwork Labs 2026 Cohort Announcement | https://www.formworklabs.com/cohorts/2026
[Nadia Djait on LinkedIn, retrieved 2026] Nadia Djait LinkedIn Post | https://www.linkedin.com/in/nadia-djait/details/experience/
[Lylia Djait-Paulien on LinkedIn, retrieved 2026] Lylia Djait-Paulien LinkedIn Profile | https://www.linkedin.com/in/lyliadjaitpaulien/
[Keyu Long on LinkedIn, retrieved 2026] Keyu Long LinkedIn Profile | https://www.linkedin.com/in/keyulong/
[Founders Network, retrieved 2026] Founders Network Profile | https://foundersnetwork.com/member/tyce
[Carta, retrieved 2026] Carta Company Profile | https://carta.com/companies/tyce
[Product Hunt, 2025] Tyce Product Hunt Listing | https://www.producthunt.com/products/tyce
[Lylia Djait-Paulien on LinkedIn, 2022] Lylia Djait-Paulien LinkedIn Post on Carbon Capture Canada | https://www.linkedin.com/in/lyliadjaitpaulien/details/experience/
[Carbon Capture Canada, retrieved 2026] Carbon Capture Canada Conference | https://carboncapturecanada.ca/
[Perplexity Sonar Pro Brief, retrieved 2024] Tyce Product Brief | https://www.perplexity.ai/
[MarketsandMarkets, 2023] Construction Management Software Market Report | https://www.marketsandmarkets.com/Market-Reports/construction-management-software-market-21999498.html
[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
[Document Crunch] Document Crunch Website | https://www.documentcrunch.com/
[Egnyte] Egnyte Website | https://www.egnyte.com/
[Private Candid Take] Startuply Internal Analysis | [Internal source]
Articles about Tyce
- Tyce Aims to Turn the Construction Bid Into an AI-Generated Document — The Toronto startup is betting its industry-specific AI editor can unearth the institutional knowledge buried in a decade of RFPs and proposals.