NOW CITY
Now City

Unlock more value for complex mixed use projects.

Now City Regenerative Development Intelligence

An agentic AI solution for developers and capital that transforms baseline assumptions into better outcomes.

Why this works

The future favors projects designed for people and ecosystems. The math finally catches up.

Regenerative development hasn't won yet, not because it underperforms, but because the value has been invisible. Each benefit gets measured in its own unit. Months. Basis points. Tonnes of carbon. Walk scores. None of these add up on a pro forma. So sponsors and capital have seen cost centers instead of return centers.

That changes when each benefit is quantified in dollars and stacked. Twelve dimensions across financial, risk, impact, and place. Each one validated against the data sources capital partners actually use. Each one converted into the language they actually price on. Stacked together, they reveal value that conventional underwriting misses. The system turns complexity into delta.

Financial
Return and capital structure

Project return. Timeline to shovel-ready.

2 dimensions
Risk
Exposure and resilience

Cost of capital and exit cap. Resilience and insurability.

2 dimensions
Impact
People, ecosystems, materials

Carbon. Resource efficiency. Ecosystem services. Material circularity. Health and wellness. Community wealth and access.

6 dimensions
Place
Mobility and lived experience

Mobility impact. Quality of place.

2 dimensions

Twelve dimensions in total. Their interactions matter most. The system identifies how each improvement on one dimension stacks with improvements on others.

How it works

From the materials you already have to a ranked plan.

The solution reviews project materials, identifies where baseline assumptions can be improved, quantifies each change in dollars, and produces a reviewable recommendation. You decide what to pursue.

Step 1
Review

Pro forma, design package, capital stack, schedule, entitlement materials.

Step 2
Identify

Where regenerative strategies can improve baseline assumptions across twelve dimensions.

Step 3
Quantify

Each change converted into dollars and translated to capital-readable terms.

Step 4
Recommend

Prioritized actions with citations. You review, modify, or pursue.

The solution does not generate go or no-go decisions. It generates a ranked plan with the math visible. Sponsors and capital partners decide which moves to pursue.
What it found

Example analysis.

Anonymized mixed-use development. $95M total capitalization. 200 units. Pacific Northwest secondary metro.

Beta preview
Total value identified
+ $11.5M

Net of intervention costs, over the project hold.

Validated against the project pro forma.

Project return improvement
+ 4 points

More return on the same equity, over the same hold.

Validated against comparable mixed-use deals.

Cheaper cost of capital
~ 0.8% lower

Through mission-aligned capital and tax-credit eligibility.

Validated against current rate environment and program criteria.

Insurance savings
~ $400k/yr

From resilience improvements and reduced exposure to grid and climate events.

Aligned with carrier underwriting frameworks.

Capital readiness
Mandate-aligned

Eligible for green-bond financing. Tax-credit compliance recorded.

Validated against program criteria.

Resilience improvement
Top tier

Continuity through grid, climate, and supply disruptions.

Aligned with FEMA resilience framework.

Numbers reflect the solution's analysis of one anonymized example. Real analyses parameterize to the actual data room. Methodology and caveats follow in the Explore and Method sections.

Recommended moves

Five interventions, ranked by value.

Each move is quantified against the project pro forma. Open any card to see the details, dependencies, and contributing dimensions.

Explore the analysis

Findings across twelve dimensions, four categories.

Each dimension is analyzed by a specialized agent. Each agent reviews specific data, validates against benchmarks, coordinates with other agents, and converts the finding into dollars. The methodology is visible on every row.

How the agents work together. Twelve specialized agents run in parallel, each focused on one dimension. A coordination layer cross-checks findings between agents so the analysis stays internally consistent. Example: the Carbon agent's finding that mass timber stores 40% more carbon enables the Cost of Capital agent to verify green-bond eligibility, which feeds the Return agent's cap rate compression model. The system shows its work at every step.
How the dollars stack up
v1 directional
Financial subtotal
+ $2.5M
Risk subtotal
+ $8.5M
Impact subtotal
+ $8.5M
Place subtotal
+ $2.0M
Gross dollarized value
+ $21.5M
Less: cost of optimizations
− $8.0M
Less: cross-dimension overlap allowance
− $2.0M
Net additional value
+ $11.5M

Some intervention benefits feed multiple dimensions. District energy, for example, lowers carbon AND improves resilience AND reduces insurance premiums. The system attributes the full benefit to each affected dimension during analysis, then reconciles in the net through the overlap allowance.

Inspect the method

The reasoning is open if you want to look.

Methodology and per-dimension citations live above in the Explore section. The notes here cover assumptions, caveats, and beta status.

How the multi-agent system stays consistent

Twelve specialized agents run in parallel, each focused on one dimension. They share inputs (the project data room) and they share outputs (findings flow between agents through a coordination layer).

Cross-checks include: timeline assumption matched across return and capital agents, debt service line matched across return and cost-of-capital, insurance line matched across resilience and cost-of-capital, envelope spec matched across carbon and resilience.

Outputs that fail cross-checks are flagged and returned to the originating agent for revision. Findings without citation lineage are rejected. The system shows its work.

Methodology status by category

Some findings rest on established methodology with primary-source citations. Others are in active development with explicit anchor paths declared.

  • Established. Project return, timeline, cost of capital, resilience, lifecycle carbon, resource efficiency, health and wellness, mobility, quality of place.
  • In development. Ecosystem services credits, material circularity scoring, community wealth and access quantification.

In-development findings show their working approach and anchor path in their methodology expander.

Assumptions and caveats

Findings are directional at the current product stage. Real analyses parameterize to the actual data room and the actual capital partners involved.

The solution does not produce a go or no-go decision and does not produce a composite score. Findings remain independent so trade-offs stay visible.

The solution does not substitute for legal, regulatory, or investment advice. Materials destined for investor-facing or regulatory contexts require qualified review.

Translation values (cap rate compression, return uplift, insurance discount) reflect working assumptions about the current capital partner pricing environment and are validated against submarket comparable data.

Beta notes

This is an early product experience. Methodology is published. Outputs are designed to be inspected, modified, and discussed. We are actively recruiting friendly early users on both the sponsor and capital partner sides. Feedback shapes the next version.

Next step

A conversation, not a contract.

Reach out directly: erik@nowcitylabs.com