About
Cliffcenter is the data center predevelopment platform built by the team behind Cliffwide. The AI form-mapping engine that ships affordable housing bond applications now ships interconnection requests, incentive filings, FERC dockets, and predevelopment workflows for the fastest-growing infrastructure market in history.
Origin story
Cliffwide’s original bet was simple: affordable housing bond applications — LIHTC, tax-exempt issuances, state agency programs — were the most regulation-heavy, form-heavy workflow in American real estate. If AI could ship one bond application in 30 days instead of 120, it could ship almost anything.
We built the engine. It worked. Developers closed deals that their in-house teams had stalled on for a year. The agencies — who run on outdated software and are actively RFP’ing for modernization — became easier to work with, not harder.
Then a friend at a hyperscaler mentioned that they had spent $2.4 million in legal fees on a single FERC ISA amendment. Another friend at a 400-megawatt operator said they hired four consultants for one interconnection filing. A third friend, running diligence on a coal plant conversion, spent six weeks reconciling EIA, NRC, EPA, and county zoning data by hand.
These are the exact patterns that our AI form-mapping engine was built for. Cliffcenter is what happens when the same team takes that engine and points it at data centers.
Principles
These are the things we will say out loud, write down, and fire ourselves over if we violate. They shape what we build and who we sell to.
Every deliverable is a structured artifact in our platform — queryable, diffable, exportable. No PowerPoint unless you ask. No retainer-driven scope creep. No hourly billing tricks.
We treat the regulatory graph as a first-class object. FERC orders, PUC dockets, ISO tariffs, state statutes, and county ordinances are structured data, not PDFs. The graph is how we stay ahead of the rulemaking.
Hyperscalers have internal platforms. Everyone else has email. Our wedge is the operator who does not have a twenty-person government affairs team and should not have to pay $400K for a single diligence engagement.
DCIM and SCADA are solved. Cooling optimization is solved. Predevelopment is the one phase of data center construction where nobody has invested in software, because the consultants and law firms profit from the complexity. We are not those consultants.
We publish our research. We cite filings, not analyst reports. We credit sources. Our customers and our competitors can audit every claim. This is the only way to build trust in a market that runs on privileged information.
Flat fees. Fixed scopes. Fixed delivery dates. If we finish faster we take on the next engagement. Our customers should feel our incentives point toward getting their project across the line, not lengthening our retainer.
Timeline
AI form-mapping for affordable housing bond applications. The first proof that AI could compress a regulatory filing workflow by 10x without losing audit fidelity.
After a year of watching hyperscaler friends pay law firms $1M+ to move PDFs, we started asking what the $3 trillion data center capex market really ran on.
Interconnection queues. Incentive applications. BTM deal structuring. Site intelligence. Services-as-software. Ordered by time to first customer and defensibility.
First shared regulatory graph live. Queue Intelligence MVP for ERCOT, PJM, and Dominion. Incentive atlas covering 40 public programs.
Public launch. All five solutions live, plus the research library, plus the first services engagements closing.
The founding team
We don't publish photos or bios until the person has cleared it. Below is the structural shape of the team — roles, backgrounds, where the expertise sits. If you want to meet someone specific, ask on a first call and we'll introduce you.
Previously built Cliffwide's affordable housing bond platform. Decade of experience shipping AI form-mapping against regulated filings workflows.
Eight years at a major US utility planning group; authored large-load interconnection filings across ERCOT, PJM, and MISO before joining us.
Energy law associate at an AmLaw 100 firm; left to build the product layer that the firm would not. Focuses on the FERC regulatory graph.
Production ML engineering on document extraction and structured output. Built Cliffwide's form-mapping engine from the first eval harness to production.
Former GIS analyst at a large infrastructure developer. Built the first version of our coal-conversion candidate index as a side project before we hired.
Boutique energy consulting partner with a decade of DC predevelopment engagements. Runs the services arm with a small analyst bench.
We also work with a network of independent domain experts on a per-engagement basis — former ISO planning staff, state PUC alums, and energy regulatory counsel. Our core team intentionally stays small.
“The fastest-growing infrastructure market in history runs on spreadsheets. We refuse to accept that the work of building the physical substrate of the AI economy should feel like filing taxes in 1998.”
Cliffwide and Cliffcenter
Cliffcenter is a Cliffwide company. Same team, same form- mapping engine, same commitment to flat-fee outcomes. The two products share engineering, shared services, and shared credibility with our investors.
The work is different, though. Affordable housing runs on federal LIHTC and state bond programs. Data centers run on FERC, NRC, PUC, and ISO/RTO frameworks. We keep them separate on the customer-facing surface, and unified on the platform underneath.
If you are a Cliffwide customer, the same team is here for you if you ever build a data center. If you are a Cliffcenter customer, the technology is battle-tested on the hardest regulatory domain in US real estate.
Come build with us
If you have spent your career in energy law, economic development, interconnection engineering, or public policy — and you wanted to ship software instead of briefs — we want to talk.