01
Tuned for design work
Agents focus on the kinds of questions you already ask early, like massing, options, visuals, and constraints, rather than generic back-and-forth.
agents+workflows=operational intelligence
Specialized agents composed into structured workflows - so design decisions run as systems, not one-off prompts.
01
Operational intelligence
Agents and workflows composed into systems your studio can run, reuse, and refine.
The agents
AI that works like part of your process
Not just a chat box: models that plan, call on your tools and data, revise, and stop for your sign-off when you need it.
01
Plans in stages
Goals are split into ordered moves (gather context, propose directions, then refine) instead of a single rushed answer.
02
Uses your workspace
Steps can lean on files, knowledge, and the blocks you wired so outputs stay tied to what your project actually contains.
03
Checks and iterates
When something misses the brief, the flow can loop: compare options, tighten wording, or try again with clearer constraints.
04
Hands off to you
Pauses for approval, notes, or overrides when you want humans in charge before the next stage runs.
And they behave like part of the studio
Compose specialized assistants into flows so exploration, documentation, and review stay structured, whether you are on competition work or delivery.
02
Clear roles in the flow
Give each step a narrow job: explore, summarize, critique, or package results. The workflow carries context from one design agent to the next.
03
Aligned with how you practice
Attach office skills, checklists, and tone so outputs read like your team wrote them, not like a random model.
04
Reuse across projects
Save agent chains as workflows you open on the next brief: same process, new site and inputs.
The memory
Knowledge that compounds with every project
Most studios lose context in files only one person uploaded and threads that scroll away. Versur keeps operational knowledge where the next project, person, and agent run can actually use it.
ProjectSitePersonMeetingDecisionModelFeasibilitySynthesis
01
One studio memory
Projects, sites, people, meetings, and decisions linked together - what the practice knows, ready for Ask and every agent run.
02
Multimodal, from day one
Text, images, video, and audio all indexed into the same graph. A site photo is as searchable as a decision memo.
03
Dream mode - overnight reconciliation
While you sleep, Brain re-reads what it ingested and flags contradictions, gaps, and conflicts. You show up to a morning list, not surprises later.
04
Compounds over time
Who the client is, what you agreed on site, what last week's review decided - remembered on the next brief, hire, and run.
The workflows
Compile expertise once, run it on every brief
Build the method as a graph, call it with new inputs, and let improvements carry to every project after.
01
Build the process
Define how design decisions are made - research, generate, evaluate, iterate - as a visual graph, not a single prompt.
02
Call it on a brief
Open the workflow with new inputs. The same method runs - site, client, and constraints change, the process does not.
03
Deploy to your tools
Expose it as an API when Rhino, Grasshopper, or Revit needs to call the process directly from the desk.
04
Reuse across briefs
Compile expertise once. Next competition, next site, next hire - same system, new inputs.
The studios
Deploy the intelligence to the people who need it
A practice isn't one team with one workflow. Studios publish a workflow as a chat surface to a specific team - competition, delivery, management - so the good ones don't get buried.
StudioRiverside - concept & zoning
Org emailZoning feasibility for 42 Ash St - three massing options with setbacks.
Running zoning + concept massing on the Riverside brief and site analysis.
3 options generated, checked against setbacks and FAR. Ready for review.
zoning + concept massingCall workflow
Public linkPasswordOrg email
01
A page per team
Competition team, delivery team, management - each gets a Studio with the workflows they actually need at hand.
02
Chat interface, not a graph
The super-users build the workflow. Everyone else calls it from a chat box. Senior architects never have to open a node graph.
03
Access on your terms
Public link, password-protected, or restricted to a specific organization's email domain. Deploy inside or outside the studio walls.
04
Governance built in
A workflow, its inputs, its outputs, and who ran it - visible at the Studio level, not scattered across seats.
From studios
How teams use Versur
Patterns we hear from architects, computational designers, and design-led teams.
“Most AI tools give you a black box and call it customization. Versur is different. You create your own agents - no code - and Versur Agent lays out the multi-agent graph with prompts, tools, skills, and loops already defined. That's custom AI at the level practices actually need.”
“The surprise wasn't that it could make a workflow. It's that it could make one at practice depth: two phases, parallel subcontractor packs, focused agents instead of one mega-step, knowledge-backed checks, then a scored recommendation at the end. That's the complexity we live in - and Versur Agent actually built it.”
“I'm not the person who sets up servers. I design buildings. What I need to know is simple: does this send the project somewhere we don't control? For a long time the answer with AI tools was yes, so we stayed away. With Versur Bridge we can keep that work in-house when it matters. That was the difference between another AI tool and something we could actually put in front of the partners.”
“I wasn't looking for another AI tool. We already have those. What we needed was a place to turn how the office actually works into something we can reuse - workflows we build once and call again. That's what Versur is for us. Not a model. The infrastructure for the practice.”
“We stopped chasing one mega-prompt. Analysis, then generation, then critique - each as its own block.”
“Most AI tools give you a black box and call it customization. Versur is different. You create your own agents - no code - and Versur Agent lays out the multi-agent graph with prompts, tools, skills, and loops already defined. That's custom AI at the level practices actually need.”
“The surprise wasn't that it could make a workflow. It's that it could make one at practice depth: two phases, parallel subcontractor packs, focused agents instead of one mega-step, knowledge-backed checks, then a scored recommendation at the end. That's the complexity we live in - and Versur Agent actually built it.”
“I'm not the person who sets up servers. I design buildings. What I need to know is simple: does this send the project somewhere we don't control? For a long time the answer with AI tools was yes, so we stayed away. With Versur Bridge we can keep that work in-house when it matters. That was the difference between another AI tool and something we could actually put in front of the partners.”
“I wasn't looking for another AI tool. We already have those. What we needed was a place to turn how the office actually works into something we can reuse - workflows we build once and call again. That's what Versur is for us. Not a model. The infrastructure for the practice.”
“We stopped chasing one mega-prompt. Analysis, then generation, then critique - each as its own block.”
“Most AI tools give you a black box and call it customization. Versur is different. You create your own agents - no code - and Versur Agent lays out the multi-agent graph with prompts, tools, skills, and loops already defined. That's custom AI at the level practices actually need.”
“The surprise wasn't that it could make a workflow. It's that it could make one at practice depth: two phases, parallel subcontractor packs, focused agents instead of one mega-step, knowledge-backed checks, then a scored recommendation at the end. That's the complexity we live in - and Versur Agent actually built it.”
“I'm not the person who sets up servers. I design buildings. What I need to know is simple: does this send the project somewhere we don't control? For a long time the answer with AI tools was yes, so we stayed away. With Versur Bridge we can keep that work in-house when it matters. That was the difference between another AI tool and something we could actually put in front of the partners.”
“I wasn't looking for another AI tool. We already have those. What we needed was a place to turn how the office actually works into something we can reuse - workflows we build once and call again. That's what Versur is for us. Not a model. The infrastructure for the practice.”
“We stopped chasing one mega-prompt. Analysis, then generation, then critique - each as its own block.”
“Most AI tools give you a black box and call it customization. Versur is different. You create your own agents - no code - and Versur Agent lays out the multi-agent graph with prompts, tools, skills, and loops already defined. That's custom AI at the level practices actually need.”
“The surprise wasn't that it could make a workflow. It's that it could make one at practice depth: two phases, parallel subcontractor packs, focused agents instead of one mega-step, knowledge-backed checks, then a scored recommendation at the end. That's the complexity we live in - and Versur Agent actually built it.”
“I'm not the person who sets up servers. I design buildings. What I need to know is simple: does this send the project somewhere we don't control? For a long time the answer with AI tools was yes, so we stayed away. With Versur Bridge we can keep that work in-house when it matters. That was the difference between another AI tool and something we could actually put in front of the partners.”
“I wasn't looking for another AI tool. We already have those. What we needed was a place to turn how the office actually works into something we can reuse - workflows we build once and call again. That's what Versur is for us. Not a model. The infrastructure for the practice.”
“We stopped chasing one mega-prompt. Analysis, then generation, then critique - each as its own block.”
“Studio memory is the quiet win. Project two starts closer to our language instead of a blank chat.”
“Versur Studios are gold mines. Define units of intelligence with Versur Agent, then deploy them for your team as Studios.”
“For concept work we have a workflow that takes the brief, kicks out a few directions, and has a check step before anything goes to the client. We run it more than we redraw the process.”
“Concept is one workflow. Schematic is another. DD and delivery have theirs. Different graphs, same place. People just open the one for the phase they're in.”
“Studio memory is the quiet win. Project two starts closer to our language instead of a blank chat.”
“Versur Studios are gold mines. Define units of intelligence with Versur Agent, then deploy them for your team as Studios.”
“For concept work we have a workflow that takes the brief, kicks out a few directions, and has a check step before anything goes to the client. We run it more than we redraw the process.”
“Concept is one workflow. Schematic is another. DD and delivery have theirs. Different graphs, same place. People just open the one for the phase they're in.”
“Studio memory is the quiet win. Project two starts closer to our language instead of a blank chat.”
“Versur Studios are gold mines. Define units of intelligence with Versur Agent, then deploy them for your team as Studios.”
“For concept work we have a workflow that takes the brief, kicks out a few directions, and has a check step before anything goes to the client. We run it more than we redraw the process.”
“Concept is one workflow. Schematic is another. DD and delivery have theirs. Different graphs, same place. People just open the one for the phase they're in.”
“Studio memory is the quiet win. Project two starts closer to our language instead of a blank chat.”
“Versur Studios are gold mines. Define units of intelligence with Versur Agent, then deploy them for your team as Studios.”
“For concept work we have a workflow that takes the brief, kicks out a few directions, and has a check step before anything goes to the client. We run it more than we redraw the process.”
“Concept is one workflow. Schematic is another. DD and delivery have theirs. Different graphs, same place. People just open the one for the phase they're in.”
In the press
“A lot of AI demos in AEC start and end at image generation. This one started somewhere else entirely.”
Evan TroxelHost, TRXL Podcast
“With agentic AI, the architect changes from a curator to an orchestrator of agents.”
Neil LeachArchitectural theorist · Co-founder, DigitalFUTURES · Director, Doctor of Design, FIU
“People are tending to rely more and more on automation, but that's a big problem because they lose control. What you have here gives back that control.”
Claudiu Barsan-PipuCo-Founder & CEO, MetaNeural
“A groundbreaking tool that's setting a completely new framework for how we think about collaborating with AI - the most advanced tool I've seen for AI, for creativity within architecture.”
Joseph ChomaPh.D. · Director, FAU School of Architecture
Your stack
Your tools, your contracts, Versur orchestrates
You are not buying access to a single model. You are buying the infrastructure that runs your process - on the apps, keys, and hardware your studio already uses. Governance is a real choice, not a checkbox: studio data goes to a third-party model only when you decide it should.
Integrations
- Google Drive
- Gmail
- Outlook
- OneDrive
- Microsoft Teams
- Slack
- Miro
- Dropbox
Versur Bridge
- Rhino
- Grasshopper
- Revit
- Local models
Bring your own keys
- OpenAI
- Anthropic
- Ollama
RhinoGrasshopperRevitDriveSlackMiroOpenAIAnthropicGeminiHostedLocalYour choice
01
Versur Bridge
Rhino, Grasshopper, Revit, and local models on your machine - your tools, your hardware, your data stays home.
02
Integrations
Drive, Gmail, Outlook, Teams, Slack, Miro - wired into your process, not sitting in a separate silo you have to copy from.
03
Bring your own keys
Your OpenAI, Anthropic, or Gemini contract. Versur orchestrates the process - you keep the provider relationship.
04
Data governance
Studio methods and client files are yours to protect. Run on hosted models, or route sensitive steps through Bridge to models on your machine - data leaves only when you choose.
In operation
Runs without you, auditable when it does
Operational intelligence, in operation: the process keeps running without you - and your studio can see exactly what happened.
Activity - riverside towerLive
- 09:01TriggerDrive - riverside-brief.pdf landed
- 09:01Workflowsite-analysis-v3 started
- 09:04ScheduleMonday review cycle
- 09:07Pausedawaiting human approval
- 09:12Logrun complete · 3 outputs · $0.18
01
Triggers
A file lands in Drive, a message arrives in Slack, a webhook fires - the workflow starts without you opening Versur.
02
Schedules
Monday morning, every review cycle, end of phase - runs on a timer so repetitive studio work stays off your plate.
03
Human in the loop
Pause for approval, feedback, or sign-off when the process needs a partner or director before the next step runs.
04
Activity logs
What ran, what it produced, what it cost - a readable history of your studio’s system at work, not a black box.
Design thinking, made executable.
Where a studio's design process becomes an operable system - the same method, called on every brief.
Opens August 19 - accounts + first public Weekly Build
Watch on YouTube and elsewhere. Join Discord to ask questions live.
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