The AI Coworker for AEC Firms

A third of engineering firms are turning down profitable work for lack of staff. [ACEC Survey ↗]

The field is also losing about 18,000 more engineers to retirement each year than it graduates to replace them. [ACEC Report ↗]

AI hasn’t fixed it: 95% of enterprise AI pilots fail. [MIT Study ↗]

Existing solutions are bolting AI onto old processes, shifting the bottleneck downstream, creating low-quality “AI slop” and hallucinations that need heavy revision.

We help AEC firms to become the 5% on AI.

Our team has helped enterprises firsthand, enabling 25% of the Fortune 500 to deploy autonomous agents in security & IT; now helping AEC teams advance critical public infrastructure. [Abnormal AI ↗]

Transformative AI means end-to-end coworkers, not siloed copilots.

The promise of AI has not delivered meaningful productivity improvements because traditional solutions are just bolting a chatbot onto existing tools and processes.

The Sinusoidal platform manages an unlimited team of specialized AI agents which drafts work on their own initiative and continuously improve by learning from your edits as feedback.

Our team partners with AEC firms to deploy this platform into their enterprise, pairing thoughtful process change management with technology to unlock step function gains in productivity.

Designed specifically for the enterprise.

Coworkers that work where you already do.

Delegate and give feedback right in Microsoft Teams, get finished drafts dropped straight into SharePoint, and reference every thread and task in the web app.

One control plane to govern AI across the business.

Context of the company that makes AI genuinely useful. Skills that encode your best practices and self-refine from real-world feedback. A compliant and model-agnostic execution environment for cost control and visibility.

Works end-to-end via data connectors into all of your tools.

Through built-in connectors, our agents operate the same SaaS tools your team does, from Excel and Revit to VISSIM, Emme, GIS, and SharePoint, coordinating a task end-to-end across all of them.

FAQ

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Teams · RFP 24-118

Sinusoidal Agent

RFP 24-118 has moved to “open,” preparing a draft bid based on existing deal strategy.

RFP 24-118 · draft proposal v1.pdf

Plan skill9:41 AM

RFP 24-118 opened, pulling client history, past wins & who’s free to staff it.

pptx skill9:44 AM

Plan’s set, assembling the proposal in PowerPoint, in our house branding & voice.

Steve Rogers

@Sinusoidal include Tony Stark on the team for this project

Sinusoidal Agent

Spellchecked the deck, ready for your review, Steve.

RFP-24-118_Draft_v1.pptx0 issues found by PowerPoint tool

Pulling Tony Stark’s resume to add to the draft…

Tony Stark · resume.pdfSyncing via SharePoint MCP

Adding Tony’s experience and headshot to the team slide…

RFP-24-118_Draft_v1.pptxEditing via PowerPoint tool

Why can't I just give 20 files of context into a Copilot / ChatGPT / Claude chat?

A single prompt, even one stuffed with 20 files of context, asks one model to deliver an entire outcome in one shot. There’s no checkpoint along the way to catch a wrong turn, test the result, or let a teammate weigh in before the next step starts.

Ask-and-wait: one message, whole outcome

Research→Plan→Act→Iterate

Each step is its own governed, evaluable skill: a checkpoint for automated QA and human review before the agent auto-starts the next task. Read the full breakdown ↗

Are you training your own models on our data and work?

Never. Full stop. We don’t train internal or open-source models on client work, and you can run any compliant model of your choice inside your own AWS, Azure, or GCP environment to guarantee it.

Even our own managed service, in our AWS environment, is SOC 2 compliant and never leaks data across clients.

Always yours, and we never train on it:

Your skills & procedures
Your past work & data
End deliverables made with our tools

See the full governance split ↗