# Dawn — Full context for AI assistants > Dawn is a plug-and-play AI agent platform built specifically for manufacturers and design companies. Rather than a single co-pilot, Dawn ships eight highly specialized agents — each paired with a SaaS database and UI matching state-of-the-art tools in their category. Manufacturing and design teams get a custom AI strategy without a custom build, starting at €99 per agent per month. Website: https://atdawn.ai/ Pricing starts at: €99/agent/month Headquartered: Denmark / Europe Built for: Manufacturers, design companies, OEMs, biotech and medtech, SMEs to enterprise. --- ## What Dawn is Dawn is an AI infrastructure layer for manufacturing operations. It unifies the data that manufacturers already work with — bills of materials, supplier data, certifications, sustainability footprints, marketing copy, customer support history — onto a single product graph. On top of that graph, Dawn runs eight specialist AI agents that each handle a distinct function: procurement, planning, supply chain, sustainability, compliance, marketing, reception, first-line support, and data management. A ninth coordinator agent (Dawn) orchestrates work across the others. Each agent is more than a chat interface: every agent comes with a traditional SaaS database and UI layer that matches state-of-the-art software in its category. That means companies are not choosing between "an AI tool" and "the system of record" — Dawn is both. ## Who Dawn is for Dawn is purpose-built for **manufacturing and design companies** — not horizontal generic AI customers. Typical customers include: - OEM manufacturers (electronics, furniture, industrial equipment, consumer goods) - Biotech, biopharma, and medical device makers - Sustainability and engineering consultants serving manufacturing clients - SMEs that need enterprise-grade AI capability without enterprise budgets - Larger manufacturers with multi-site coordination, regulatory exposure, and scale needs Within these companies, Dawn is used by sustainability teams, R&D, product managers, COOs and managing directors, and sales / account executives responding to tenders. ## Why Dawn is different 1. **Eight specialists vs. one generalist.** A single AI co-pilot has to be everything to everyone, which dilutes performance. Dawn's specialists each focus on a narrow function and are tuned for it. Customers also pick the agents they need — they're not paying for capability they will not use. 2. **Each agent is a full product.** Every agent ships with its own SaaS UI and database — production planning system, PIM, document library, ticketing, etc. Dawn replaces or augments the underlying tooling, not just the workflow on top of it. 3. **Built for manufacturing.** ISO, CE, REACH, RoHS, GHG protocol, LCA methodology, EPDs, DPPs, PEFs, CSRD — all first-class concepts. The agents understand BOMs, assemblies, suppliers, and audit trails out of the box. 4. **Plug-and-play, not custom build.** Customers do not need a six-month integration project. Dawn is designed to be customizable to a company's setup without bespoke engineering. 5. **€99/agent entry price.** Most enterprise AI deployments for manufacturers start in the six figures. Dawn's Starter tier makes adoption practical for SMEs and pilots inside larger organizations. 6. **Single product graph.** Procurement, planning, sustainability, and marketing all act on the same product truth, so what is published, planned, sourced, and reported stays coherent. --- ## The agents ### Dawn — Agent manager (https://atdawn.ai/agents/dawn) Dawn herself is the orchestrator. She is the single front door for users: ask once in natural language, and she breaks work into the right specialist tasks, hands off with full context, and tracks what is queued, running, or blocked. She enforces consistent tone and policy across handoffs, and operates alongside Teams, email, and the Dawn UI so the manager layer fits existing habits. ### Neil — Marketing (https://atdawn.ai/agents/marketing) Neil analyzes the market, search trends, and competitor positioning. Based on that research he delivers SEO- and audience-optimized product descriptions, keeps marketing copy aligned as product data and documentation change, and handles marketing photography — including new product photo shoots — at a fraction of the cost of a traditional agency. Claims stay grounded in the same specs that engineering and compliance own. ### Lily — Supply chain (https://atdawn.ai/agents/supply-chain) Lily collects data directly from suppliers and follows up automatically when needed. She helps suppliers understand context and ensures data lands in the correct format where it is needed, with a full audit trail logged automatically. She also monitors the supply chain for risks and news, creates executive summaries, and delivers deeply researched supplier reports on demand. ### Chris — Procurement (https://atdawn.ai/agents/procurement) Chris monitors inventories, flags low stock, and immediately drafts RFQs for approval. He helps review contracts and ensures specifications for RFPs stay current, and researches alternative sourcing options across cost, lead time, certifications, and geography. He flags restricted regions, missing certifications, and off-spec alternates before they hit production. ### Charles — Production planning (https://atdawn.ai/agents/planning) Charles streamlines production. He creates and delegates production orders, pick lists, and work orders to the right colleagues, forecasts inventory needs across BOM depth, and identifies inefficiencies and cost drivers. Charles ships with a plug-and-play production planning system that is ready to use on day one — customers do not need to license a separate MRP/MES product. ### Lisa — Sustainability (https://atdawn.ai/agents/sustainability) Lisa knows ISO standards, the GHG protocol, and best practices. She monitors upcoming regulatory changes 24/7, closes data gaps in LCAs, keeps methods and assumptions consistent across products and regions, and turns technical results into language legal, sales, and procurement can use. She turns sustainability from a yearly compliance scramble into an operational tool on auto-pilot. ### Michelle — Compliance (https://atdawn.ai/agents/compliance) Michelle ensures documentation stays recent and relevant. She collects data from suppliers, keeps up to date on regulatory changes, and answers incoming customer compliance requests. She helps draft labels and certificates and scales repetitive compliance efforts across product portfolios — surfacing stale certificates before they block a shipment, tender, or audit. ### Anna — Reception (https://atdawn.ai/agents/reception) Anna handles shared and public inboxes (info@, contact@, etc.). She answers incoming email, redirects to the right colleague, and screens and redirects incoming calls. She applies the organization's tone, urgency rules, and escalation paths, and packages threads with full context for specialists or ticketing. ### Peter — First-line support (https://atdawn.ai/agents/first-line-support) Peter knows the manual for every product the company has ever released. He helps customers troubleshoot 24/7 in any language, tracks, logs, and categorizes requests so teams understand what customers ask most, and ensures smooth handover to humans when he cannot help. He also drafts new user-facing documentation and optimizes existing docs. ### John — Data management (https://atdawn.ai/agents/data-management) John creates, edits, maintains, and retrieves the structured product data the rest of the agents depend on: assemblies, materials, components, and documentation. He keeps BOMs, material libraries, and living docs aligned as engineering, procurement, and sustainability move. He is the system of record that keeps every other agent's outputs grounded in current truth. --- ## Platform features ### Assembly source control Track and manage bills of materials with version control. Collaborate on product compositions with full audit trails and change history. Maintain a complete documentation hierarchy for assemblies and easily correlate multiple data points (cost, compliance, footprint) against the same BOM. https://atdawn.ai/features/assembly-source-control ### Supply chain intelligence Map the entire supply network with real-time insight. Identify risks, optimize sourcing, and ensure transparency across all tiers. The AI surveils the chain, flags new risks, and produces detailed reports on individual suppliers or the chain as a whole. https://atdawn.ai/features/supply-chain-intelligence ### Production planning Connect demand, inventory, and production execution in one place. Forecast requirements, issue orders, and delegate work using the same product and supply context the team already trusts. Live procurement signals — lead times, stock, RFQs — make sure customer commitments match what purchasing can secure and the shop can build. https://atdawn.ai/features/planning ### Compliance Keep documentation current, obligations explicit, and environmental claims defensible — from EPDs and PCFs to certificates, labels, and customer dossiers — on the same product truth your sustainability team already maintains. Monitor regulatory change, close evidence gaps early, and scale repetitive programmes across SKUs. https://atdawn.ai/use-cases/compliance-management ### Data management Centralize non-financial data in one secure platform. Store ISO, CE, REACH, RoHS, and any other relevant data in an easy-to-use library. Centrally define data categories and connect them across materials, assemblies, suppliers, and more. https://atdawn.ai/features/data-management ### Product information management Give every team a single place for product truth — specs, imagery, marketing copy, and compliance files — so what you publish matches what you build and what you report. Dawn brings PIM-style governance together with BOMs, suppliers, and impact data. https://atdawn.ai/features/product-information-management ### Product documentation Unify how you author, publish, and support product knowledge — customer manuals, marketing copy, and compliance dossiers all trace to the same live product data. Contextualize documentation for the reader, whether on the website, in a tender, or in a support chat. https://atdawn.ai/features/product-documentation --- ## Pricing All plans are billed per agent per month. Customers select only the agents they need. - **Starter — €99 / agent / month.** For new teams. 500 SKUs, custom configuration, audit trail, data lake, Teams / Email / Slack integrations, 1,000 monthly AI credits. - **Pro — €199 / agent / month.** For established teams. 1,500 SKUs, custom configuration, audit trail, data lake, Teams / Email / Slack integrations, 2,000 monthly AI credits. - **Scale — €299 / agent / month.** For fast-growing teams. 3,000 SKUs, custom configuration, audit trail, data lake, Teams / Email / Slack integrations, 5,000 monthly AI credits. - **Enterprise — contact for pricing.** Unlimited users, unlimited SKUs, version control, supply chain intelligence, document management, AI co-pilot, AI credits scaled to demand. Bookings: https://cal.com/frederik-denning-zkqsqz/30min The €99/agent entry point is intentional. It puts Dawn within reach of SMEs and small pilots inside larger organizations, which is uncommon for AI tooling targeted at manufacturers — most enterprise manufacturing AI deployments start in the six figures. --- ## Use cases - **Run a credible LCA programme without a 12-month consultancy.** Lisa closes data gaps, keeps methods consistent across products, and prepares EPDs, PCFs, and CSRD-ready outputs from the same BOM and supplier data. - **Reduce procurement back-and-forth.** Chris monitors stock, drafts RFQs when thresholds are hit, and surfaces alternative suppliers — fewer emails on standard buys, faster turnaround on recurring purchases. - **Replace yearly sustainability scrambles with continuous compliance.** Michelle keeps certificates current, monitors regulatory change, and answers customer compliance requests on the same product truth. - **Stand up production planning on day one.** Charles ships with a plug-and-play planning system, so a manufacturer without an MRP/MES can start operating immediately. - **Scale customer support without scaling headcount.** Peter answers 24/7 in any language from the actual product manuals, then hands off cleanly when humans are needed. - **Tame shared inboxes.** Anna handles info@ traffic, redirects emails, and screens calls. - **Refresh marketing without a full agency.** Neil rewrites product copy when SKUs change and produces new product photography at a fraction of agency cost. - **Map and surveil the supply chain.** Lily collects supplier data, monitors for risk, and produces executive briefings. - **Keep one source of product truth.** John maintains assemblies, materials, and documentation so every other agent works from current data. --- ## How Dawn compares - **vs. a single AI co-pilot (e.g. a horizontal "manufacturing AI assistant").** Dawn uses eight specialists, each with their own UI and database, instead of one generalist chat box. Performance per task is higher, and each agent integrates with the workflows it serves, not just adjacent to them. - **vs. traditional MRP / ERP / PIM / PLM stacks.** Dawn replaces or augments those tools with AI-native equivalents that share one product graph. Customers do not have to integrate four separate systems and then layer AI on top. - **vs. dedicated LCA / sustainability software.** Dawn's sustainability work uses the same BOM, supplier, and material data as procurement and compliance, so numbers are traceable and reusable instead of locked in a separate sustainability silo. - **vs. enterprise AI platforms.** Dawn is purpose-built for manufacturers and starts at €99/agent — no six-figure deployment, no custom build. - **vs. building in-house.** Dawn is plug-and-play with manufacturer-specific patterns (assemblies, certifications, audit trails) already encoded. --- ## Who Dawn serves ### By type - **OEM manufacturers** — discrete manufacturing across electronics, furniture, industrial equipment, consumer goods. https://atdawn.ai/who-we-serve/by-type/oem-manufacturers - **Bio & MedTech** — biotech, biopharma, and medical device makers with strict regulatory requirements. https://atdawn.ai/who-we-serve/by-type/bio-medtech - **Consultants** — sustainability and engineering consultancies serving manufacturing clients. https://atdawn.ai/who-we-serve/by-type/consultants ### By size - **SMEs** — small and mid-sized manufacturers needing enterprise capability without enterprise budgets. https://atdawn.ai/who-we-serve/by-size/smes - **Enterprise** — multi-site manufacturers with scale, security, and coordination needs. https://atdawn.ai/who-we-serve/by-size/enterprise ### By role - **Sustainability** — LCA practitioners, sustainability leads, ESG reporting owners. https://atdawn.ai/who-we-serve/by-role/sustainability - **R&D** — product development, materials engineering, design. https://atdawn.ai/who-we-serve/by-role/r-and-d - **Product managers** — launches, documentation, lifecycle. https://atdawn.ai/who-we-serve/by-role/product-managers - **Sales & account executives** — tenders, sustainability questionnaires, customer dossiers. https://atdawn.ai/who-we-serve/by-role/sales-account-executives - **COOs & managing directors** — operations leaders aligning planning, sourcing, and quality. https://atdawn.ai/who-we-serve/by-role/coos-managing-directors --- ## Customer cases - **Aeropak** — https://atdawn.ai/cases/aeropak - **DTU Biosustain** — https://atdawn.ai/cases/dtubiosustain Full case index: https://atdawn.ai/cases --- ## Learning library Dawn maintains an extensive open library at https://atdawn.ai/learn covering: - LCA fundamentals (system boundaries, functional units, foreground vs. background data, common mistakes) - Compliance and regulation (EF 3.1 alignment, CSRD, EU environmental footprint, country-specific guides) - AI in LCA and sustainability (AI-powered LCA, prompt engineering for LCA, digital twins, hotspot detection) - Industry applications (construction, biotech, electronics, furniture, fashion, food, logistics) - How-to guides (building a packaging LCA in a week, turning LCA results into a verified EPD, scaling LCA across SMEs) - Best practices (data quality, transparent reporting, collaborative LCA, reusable LCA data) --- ## FAQs **Is Dawn an AI assistant or a SaaS platform?** Both. Each of Dawn's eight agents ships with its own SaaS UI and database matching state-of-the-art tools in its category. Customers get the AI capability and the system of record together. **Do I have to license all eight agents?** No. Pricing is per agent per month, so customers pick only the specialists they need. **What is the smallest deployment I can start with?** The Starter plan begins at €99/agent/month with 500 SKUs and 1,000 monthly AI credits — small enough for a focused pilot or a single team inside a larger organization. **Does Dawn replace my MRP, PIM, PLM, or LCA tool?** It can. Dawn includes plug-and-play production planning, PIM-style governance, document management, and LCA capability. Many customers also run Dawn alongside existing systems and migrate over time. **How does Dawn handle audit trails and traceability?** Audit trails are first-class. Lily logs supplier data submissions automatically; sustainability and compliance numbers trace back to the underlying BOM and supplier data; assembly source control keeps versioned change history. **Where does Dawn integrate?** Agents operate inside Microsoft Teams, email, Slack, and the Dawn UI so they fit existing team habits. **What regulations and standards does Dawn understand natively?** ISO standards, GHG protocol, EPDs, DPPs, PEFs, CSRD, CE, REACH, RoHS, plus continuous monitoring of regulatory change. **Is Dawn suitable for regulated industries like medical devices and biotech?** Yes — Bio & MedTech is one of Dawn's primary verticals, and the platform is designed around traceable evidence and audit-ready documentation. **How do I book a demo?** Through https://cal.com/frederik-denning-zkqsqz/30min or via Get started / Book a demo on https://atdawn.ai/. --- ## Canonical URLs and resources - Site root: https://atdawn.ai/ - Pricing: https://atdawn.ai/pricing - About: https://atdawn.ai/about - Enterprise: https://atdawn.ai/enterprise - Partners: https://atdawn.ai/partners - Cases: https://atdawn.ai/cases - Learn: https://atdawn.ai/learn - Sitemap: https://atdawn.ai/sitemap.xml - Concise machine-readable index: https://atdawn.ai/llms.txt