10 Verticals · Energy & Climate

Marketing & AI for
energy & climate tech operators.

We run long-cycle marketing and AI automation for energy, utilities, and climate-tech operators — the companies shipping infrastructure into decarbonization, renewables, and industrial efficiency. Content and ABM on one side; project origination, diligence copilots, and policy intelligence on the other.

KacificSatellite Internet · SG FlexxonNAND Solutions · SG X-PHY IncCybersecurity · US Gauze CareMedical Products · US NDAB2B SaaS · US NDAFintech · SG NDAClimate & Energy · APAC NDALogistics · US

Climate tech doesn't move at SaaS speed.

And pretending it does is how most vendors burn the relationship. Energy and climate sales cycles are 12–24 months. The marketing needs to plant flags a committee will remember in month 18, and the AI needs to surface the project your team should have been working on in month 3.

We've worked with renewable-energy platforms, climate-tech SaaS, and industrial-efficiency operators across APAC and the US. The playbook respects the pace of the buyer: pipeline that compounds on a multi-quarter cycle, not a spray of MQLs written off in week three.

Finyki is remote-first, with teams across Singapore and the United States. EDB grant-aware, policy-literate, and operators who can read a PPA term sheet before the first call.

02 What we run in Energy & Climate Tech

Service shapes across marketing
and AI, tuned to infrastructure cycles.

Every engagement respects that your buying cycle is quarters, not weeks — and designs marketing and automation around that.

01 · Content

Long-cycle buyer & policy content

Content programs built for multi-quarter buying committees — policy explainers, technical deep-dives, and ROI modeling for utility, tax-equity, and PPA counterparties. Citation-first; policy-literate.

02 · ABM

Committee-buying ABM

Multi-persona programs reaching the utility, regulator-adjacent, tax-equity, and engineering-lead personas that sign infrastructure deals. Scoped against a 12–24 month cycle.

03 · Website

Enterprise infrastructure platform

Marketing and product platform for infrastructure buyers — commercial terms surfaces, project case studies, and policy-compliance signals baked in.

04 · Origination AI

Project & PPA origination intelligence

Agents that scan policy announcements, permit filings, and utility RFPs — flagging projects inside 24 hours of publication with a structured brief for your origination team.

05 · Diligence AI

Technical & regulatory diligence copilots

First-draft diligence memos over project data, jurisdictional regulation, and comparable transactions. Citation-first; partner-reviewed.

06 · Policy AI

Policy & incentive intelligence

Monitoring layer over IRA, Singapore GreenPrint, APAC national plans, and EU regulation — with automated impact summaries for your commercial team.

Why most climate-tech agencies plateau.

SaaS playbook on infrastructure buyers. Six-week sales cycles, MQL-SQL conversion, and growth-loop thinking don't translate to a utility procurement. We build against your actual buyer — sometimes a commercial playbook, sometimes a BD operating model.

Policy signal was hand-managed. A partner reading policy announcements manually can't scale past a region. We build monitoring automation so your team spends time on analysis, not sourcing.

Nobody read the term sheet. Energy commercial terms are complex — PPA structures, tax-equity flips, ITC vs PTC. An AI or a content piece that drafts generic proposals without understanding commercial structure embarrasses the team on the first call.

The agency didn't understand grants. A significant slice of climate-tech commercial work is structured around IRA, EDB, and equivalent programs. We scope engagements grant-aware and write SoWs that align where helpful.

03 Proof

Energy & Climate Tech teams already operating
on what we built.

APAC · Climate Platform · Origination AI + Content

NDA · Renewables Platform

Built the project-origination agent monitoring permit filings, RFPs, and policy announcements across 12 APAC markets, alongside the policy-content program that now drives 42% of qualified inbound.

  • 3.4×Origination rate
  • +42%Qualified inbound
  • 14 daysMedian time-to-brief
US · Industrial Efficiency · GTM AI + ABM

NDA · Energy-Efficiency SaaS

Shipped the ABM intelligence layer and the named-account ABM program — mapping utility buyers, industrial accounts, and incentive programs on a 24-month sales cycle. Pipeline forecasting moved from 'hope' to 'budget-ready.'

  • 2.1×Qualified pipeline
  • +19ptsForecast accuracy
  • 4New verticals opened

How an engagement usually starts.

Week 0 — Scoping call (free). Forty-five minutes on your call, not ours. You describe the workflow that's bleeding time, the demand program that's plateaued, or the system that's stuck. We tell you which lever is the right first move, and roughly what shape the engagement would take.

Week 1 — Written scope. A one-page scope with the specific agent, workflow, or marketing program, the success metrics, the eval or measurement plan, and the cost. No 60-slide proposal.

Weeks 2–6 — Build. You see working output by the end of week 2, iterated weekly. Evals, analytics, or campaigns run against real production data from week 3. Your team joins the build reviews.

Week 6+ — Handover & operate. Full documentation ships to your repo, your CRM, your ad accounts. Your team runs it. We stay on for operate-and-improve retainer if you want us — many clients keep us for 18+ months. Many don't. Both are fine.

04 Questions Energy & Climate Tech teams ask

Usually in this order.

Do you handle climate-tech marketing and AI?

Yes. Policy-literate content, ABM, and platform websites on one side; origination, diligence, and policy-intelligence AI on the other. Both compound on the long sales cycle.

How do you handle long sales cycles in the pipeline model?

Multi-quarter forecasting on account-level signals (PPA pipeline, RFP engagement, budget cycles) — not lead-level MQL math. Your CFO should be able to explain the forecast to the board without a glossary.

Do you work with utilities directly?

Mostly climate-tech companies selling into utilities — not direct utility engagements. Utility vendor cycles are longer than our studio scale supports.

Do you help with IRA, EDB, or IMDA grant applications?

We scope engagements grant-aware and write SoWs that align with scheme criteria where relevant. We don't submit grant applications on your behalf.

Can AI monitor policy announcements across markets?

Yes. Ingestion and classification layers over official sources (regulator filings, legislative trackers, utility commissions), plus impact-summarization. Every assertion cited to the primary source.

What about asset monitoring or SCADA integration?

We've shipped into asset-ops data for anomaly detection and exception routing. Direct SCADA integration for safety-critical workloads is out of scope.

Do you work under strict commercial confidentiality?

Yes. About 80% of our climate engagements are under tight NDA; no client logos or deal specifics without explicit sign-off.

Your turn

Book the scoping
call.

Forty-five minutes, your agenda, no slides. You'll leave with a clear read on what the right first move is for your Energy & Climate Tech team — and a rough shape for the first engagement if it is.

Start the conversation

Remote-first · United States & Singapore
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