01
Find and follow up with the right opportunities
Research, qualify, prepare outreach, and update the CRM in one reviewable flow.
INPUTLeads + signals
OUTCOMECleaner pipeline
Practical AI consulting & implementation / Los Angeles + remote
Put AI to work on the processes slowing your team down.
Ulmo helps teams reduce manual work, improve follow-through, and get more from the tools and information they already have. We find the right place to start, build a working pilot, and stay through rollout.
One process. One owner. One result to measure.
Or try the workflow demo01 / Where we help
Start where work keeps getting stuck.
Three common starting points. Each begins with one repeated process—not a company-wide AI overhaul.
02
Turn scattered information into useful answers
Gather approved sources and prepare a cited answer for a person to review.
INPUTScattered sources
OUTCOMEReview-ready answers
03
Make intake and operations easier to run
Capture requests, flag missing details, and route work to one clear owner.
INPUTRequests + files
OUTCOMEClear ownership
02 / How we work
Start small. Prove value. Build from there.
We work directly with the people who know the process, test one useful change, and expand only when it performs in the real world.
Find the right starting point
We map what happens today, where time is lost, and which decisions still need a person.
Build a working pilot
We create the smallest version that can improve a real process—not a slide deck or generic demo.
Fit it into your business
We connect the pilot to the tools, information, and responsibilities your team already has.
Measure, document, and hand over
We compare the result with the starting point, train the team, and make ownership clear.
03 / Small by design + selected work
Direct collaboration, backed by real work.
A senior advisor helps scope your workflow and stays involved from pilot through rollout. The work below shows the product, operating, and client experience behind that approach.
Senior advisor involvedHands-on implementationClient-owned systems
DeepCurrent helps teams find the right people, understand why they matter, and carry that research into thoughtful outreach across the channels they already use.
PEOPLE MAPPED1M+vetted profiles
READY-TO-USE LEADS50K+enriched leads
WAYS TO REACH PEOPLE4connected channels
EARLY USERS100+alpha users
LinkedInXTelegramEmailCRM
Operating proofOciety
Built the commercial system from zero.
Created the inbound, outbound, partnership, and CRM motion that helped onboard more than 1,000 businesses.
- 10–15
- venue signups per week at steady state
- 50+
- businesses actively publishing promotions
- 200+
- happy-hour listings carried on platform
Selected client workNDA respected
Found growth opportunities in markets that were hard to understand.
Helped technology clients define their best customers, find qualified leads, understand competitors, and turn research into business-development action.
Market researchLead intelligenceCompetitive analysis
04 / Interactive example
See how one messy process could become easier to run.
Choose an example and adjust the workload. The demo shows one possible four-step flow, where AI can help, and where a person stays in control.
Choose a common process
Example trigger
A new lead arrives through email or a form
Human checkpoint
Important decisions and anything sent outside the company stay reviewable.
Example workflow
Leads & follow-up
CHECK
Collect
01Bring the inquiry and relevant account data together.
AI HELPS
Enrich & draft
02AI prepares research, qualification, and a suggested next step.
YOU DECIDE
Review
03A person checks fit and approves anything sent externally.
UPDATE
Sync & assign
04Update the CRM, record activity, and give the lead an owner.
140h*
Potential annual time saved
560h
Current annual workload entered
3.5
Potential 40-hour weeks recovered
* Illustrative 25% benchmark applied to the workload entered above and annualized over 48 working weeks. Controlled studies found suitable knowledge tasks completed 25.1% faster and professional writing tasks completed 40% faster. Results vary by task; actual savings are measured in a pilot.
05 / How we build
Useful AI should make work easier without making responsibility unclear.
01
Use AI only where it helps
02
Keep people in control
03
Show where information came from
04
Work with the tools you already use
05
Build for your team to own
06
Measure the change in real work
06 / Common questions
A practical starting point, without the AI theater.
A clear business problem matters more than a polished AI strategy.
01What kinds of work are a good fit?
Repeated processes that move across email, documents, spreadsheets, CRM, or internal tools—and currently require copying, chasing, research, or manual coordination.
02Do we need an AI strategy first?
No. A clear business problem is a better starting point. We begin with one process, one owner, and one result worth improving.
03Will we need to replace our current software?
Usually not. Ulmo works with the tools and information your team already uses. If a change is necessary, we explain why before building.
04Does AI make decisions on its own?
Not by default. We decide together which steps can be automated, which need review, and where a person must remain accountable.
05What does a first engagement look like?
Most projects begin with a focused review of one process, followed by a small working pilot. Scope, timing, and the measure of success are agreed before implementation.
06Do you only work with Web3 companies?
No. DeepCurrent is one example of our technical work, not the limit of the practice. Ulmo works across revenue, research, client service, and operations.
07How do you handle sensitive information?
We start without asking you to send confidential information. Any project involving sensitive data defines access, storage, permissions, and retention before systems are connected.
Start a conversation
What is the process your team keeps working around?
01
Share the process
02
Choose a time
03
We follow up