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KnetycIntelligence for
the built world

For civil engineering firms · Knetyc MCP

Boost your firm’s AI with Knetyc

Local-code coverage in over 1,200 municipalities.

An enterprise LLM is a powerful generalist. Knetyc takes your LLM to the next level by connecting it to local code intelligence and your firm's engineering standards, QA workflow, documents, and project history. All of this in an AI enterprise system your team already uses every day.

No new software to learn. Boost the AI your firm already has.

What could recovered time be worth?

Move the sliders, allocate QA hours across five jobs, and see the time savings you could realize with a Knetyc boost to your AI.

FIRST-YEAR SCENARIONot a forecast
$1,089,200

6,080 engineering hours freed · 4 modeled weeks saved

01 · Existing-work cost savings
$452,200
3,040 retained hours × $148.75/hour modeled engineering cost
02 · Freed-capacity revenue
$532,000
3,040 redeployed hours × your billable rate. Revenue, not net profit.
03 · Independent new-work contribution
$105,000
Assumed additional projects × project revenue × margin. Growth is not derived from weeks saved.

Three years, under your assumptions

$3,593,636 combined illustrative value. Memory improvement is hypothetical; uncertainty bounds are unavailable.

Existing-work cost savingsFreed-capacity revenueIndependent new-work contribution
Read the three-year breakdown
Illustrative business value in USD
CategoryYear 1Year 2Year 3
Existing-work cost savings$452,200$499,681$547,162
Freed-capacity revenue$532,000$587,860$643,720
Independent new-work contribution$105,000$110,250$115,763
Total$1,089,200$1,197,791$1,306,645
Freed hours6,0806,718.47,356.8
Modeled weeks saved44.44.8

Illustrative business value only—not an MCP price quote, net-profit estimate, forecast, or approval-speed guarantee. Cost savings, revenue and margin contribution are different measures; their combined value is not profit.

Your Firm's Assumptions

Nine editable drivers. Project revenue is engineering hours × billable rate; modeled engineering cost is billable rate × (1 − margin).

Your current annual project count.
Revenue per billable engineering hour.
All civil work on a typical project; used to size capacity.
Code research, plan reviews and answering city comments.
Profit as a share of project revenue.
First submission to city approval.
Remaining hours are valued as cost savings.
Independent assumption, not calculated from approval weeks.
Share where the project-knowledge improvement assumption applies.

Derived project revenue: $140,000. Modeled engineering cost: $148.75/hour.

Assumptions about Knetyc's Tools

Split each project’s regulatory QA hours across five jobs. Edit each share and time-saving assumption. Uncheck a job to remove its saved hours, without reallocating its share.

100% of QA hours allocated · 0% unallocated. Reduce another job’s share before increasing one. Disabled shares remain reserved.

Shared zone facts at kickoff.

Year one · 12 QA hours/project7.2 hours saved/project

Project-aware questions and shared history.

Year one · 24 QA hours/project9.6 hours saved/project

Local-code reviews across milestones.

Year one · 48 QA hours/project16.8 hours saved/project

Review against firm engineering standards.

Year one · 32 QA hours/project11.2 hours saved/project

Comment assignment and resolution tracking.

Year one · 40 QA hours/project16 hours saved/project

Year-one total: 60.8 hours saved per project across enabled jobs.

Saved hours per project = regulatory QA hours × each enabled job’s share × its time-saving rate. Shares, including disabled jobs, total at most 100%; unallocated hours produce no savings. Each freed hour is valued once: retained hours at modeled engineering cost, redeployed hours at billable rate. The hypothetical memory multiplier is 1 + 15% × (year − 1) × familiar-town share; each job’s resulting time-saving rate is capped at 90%. Approval reduction is a separate assumption: 20% of today’s approval time × the multiplier, capped at half today’s approval time—not derived from job hours. Modeled approval weeks remain even with all jobs off. Independent new-work growth remains even with all jobs off; it is not caused by modeled weeks saved.

Put your savings scenario into practice.

Discuss what Knetyc could do for your firm.

Bring more value to every project

The Knetyc Boost

What changes when you add Knetyc

General intelligence is the starting point. The difference is context: the jurisdiction you work in, the standards you follow and the way your firm reviews a project.

Your enterprise LLM alone compared with Knetyc.
What mattersYour LLM aloneYour LLM + Knetyc
Local codeGeneral training knowledge may not reflect the requirements of a particular city or county.

Research a known jurisdiction with Knetyc’s local-code tools. Engineers review the returned citations, completeness and limitations.

Your standardsYour firm’s engineering standards are not part of its general training.

Bring your engineering standards into all your reviews, so firm-specific requirements sit alongside local code.

QA workflowUseful answers, but outside your firm’s review process.

Connect the work to your QA gates and checklists—not a separate process for engineers to manage.

DocumentsA chat only has the documents or text you explicitly supply.

Work with documents where they already live in your approved ecosystem. Current MCP does not discover, upload or review new files.

City commentsOne-off answers, with follow-through tracked elsewhere.

Organize city comments and draft clarification questions. Triage assignments and track through resolution.

Project historyThe compounding opportunityA new chat does not automatically know how the AHJ reacted to your past projects.

Use past projects to build a firm-specific reference asset with knowledge of how to work with each municipality.

A path to digital transformation

From a helpful chat to a learning firm.

Your enterprise AI is already an investment. Knetyc’s path is to make it more useful to your engineers—not give them another app to learn.

  1. 01 · Your LLM

    Chat

    General questions. General answers. One conversation at a time.

  2. 02 · MCP today

    Specialist

    Local-code research and pasted-comment support, in a supported AI client.

  3. 03 · Your workflow

    Digital QA

    Your standards, documents and QA workflow brought together at each review gate.

  4. 04 · Your knowledge

    Learning firm

    Project history helps your AI understand how your firm works with each town.

Build on Knetyc’s local-code research with your firm’s standards, workflows and project knowledge. Confirm the services, integrations and access your firm needs with Knetyc; an MCP connection alone does not enable every workflow.

Available through MCP today

Your assistant. Knetyc’s local-code tools.

Jurisdiction and project facts matter. Knetyc adds specialist research; engineers still check citations, interpret requirements and make design decisions.

Research a local-code question

Ask a standalone question with the known city or county and state. Review supporting citations and completion information; an incomplete answer is not a finished finding.

Organize pasted comments

Extract information from AHJ comments on your submitted plans, request clarification questions for ambiguity.

Find projects and saved compliance reports

List accessible projects and locate saved Plan Compliance Check reports. Read your own available reports using exact identifiers. Shared project visibility does not guarantee report access. No new reviews.

Inspect your own MCP activity

Check recent requests, recorded usage and uncertain call outcomes. Not organization-wide reporting, invoices or answer replay. Missing usage is unknown, not zero.

Connect, verify, then engage

Start with a connection your team can trust.

MCP access is administrator-enabled. Existing product permissions, quotas, ownership checks and MFA rules still apply; connecting an assistant does not grant unrestricted access.

Check the client before the rollout

Claude, Copilot Studio and custom agents have different requirements. Compatibility depends on supported transport, authentication and callback configuration. Not every client or version is verified; confirm your exact setup with Knetyc.

See what the Knetyc boost could mean for your firm.

Bring your questions, your AI setup and the municipalities you work in. Let’s discuss your next step.

Bring more value to every project