RevOps, CRM, and marketing ops consultants
Use a Revenue Data Trust Sprint when CRM trust, attribution, syncs, or reporting credibility is blocking your process work.
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Partner program · AI and data delivery
The technical delivery layer behind your client relationship.
You keep the advisory, strategy, and account trust. I scope and ship the data, AI, analytics, and automation work that needs a senior technical operator.
This is for partners who already have client access but do not want to staff a bench for every data pipeline, CRM sync, AI feasibility check, dashboard rebuild, or automation sprint. MLDeep gives you a clear technical delivery option without pulling the relationship away from you.
20-min call · bring one client scenario · leave with a written go/no-go · no slide deck.
Anmol Parimoo, founder · MLDeep Systems
9 years in data engineering, cloud infrastructure, and AI · dbt Labs Registered Consulting & Services Partner · delivery partner with Domain Methods · published researcher (AgentDoctor)
Full background →
Partner credibility
What you are putting in front of your client.
No fictional logos. The credentials that actually sit behind every partner engagement:
dbt Labs Registered Partner
Registered Consulting & Services Partner. Every dbt build is reviewed against the same standards dbt Labs holds its certified consultancies to.
Capacity-extension partnership
Delivery partner with Domain Methods for engagements that need bench depth beyond a single practitioner. Solves the "what if you're sick mid-sprint" objection.
Production AI research
Author of AgentDoctor, a framework for diagnosing and repairing autonomous AI agents in production. The body of work is public, not a slide.
9 years, full-stack
Data modeling (dbt), cloud infrastructure (Terraform), AI agent design and deployment. The practitioner you meet on the fit call is the same person writing the code.
Five landing paths
Pick the partner motion that matches your client work.
Each path has a focused entry offer, a clear split of responsibilities, and a partner-friendly CTA you can use when a client needs technical validation or delivery.
Fractional CTO/CDO/data advisors
Use a partner-branded readiness sprint when executives need a technical reality check before roadmap, hiring, or AI investment decisions.
View advisor partner page →Boutique agencies
Add AI, data, analytics, and integration depth behind product, creative, lifecycle, web, and growth retainers.
View agency partner page →AI strategy consultants
Validate one roadmap use case against real data, systems, integrations, and implementation constraints before the client funds buildout.
View strategy partner page →PE and VC operating advisors
Start with one portfolio-company scenario and turn it into a ranked AI/data opportunity scan and first implementation path.
View operator partner page →
Working model
Clear roles before any client work starts.
You own the relationship
You keep executive trust, account context, strategic framing, and commercial control. MLDeep does not use a partner introduction to sell around you.
MLDeep handles the technical read
I inspect the real systems and name the constraints in writing -- including when the client is not ready. The first technical win is scoped before any build is sold.
The handoff is explicit
Every sprint ends with a written scope, decision artifact, prototype, roadmap, or runbook that you can carry back into the broader client relationship.
Partner guardrails
Designed for trust-sensitive advisory work.
White-label or co-branded options
The right format depends on your relationship. The work can sit behind your advisory brand or appear as a named specialist partner.
No speculative roadmaps
The entry point is a narrow technical sprint or scan. The goal is to create a defensible first step, not a portfolio of ideas nobody can fund.
Direct technical delivery
You work directly with the senior practitioner scoping the tradeoffs, inspecting the systems, and writing the implementation path.
Commercial structure
The contract shape before the fit call.
You should know how the engagement is papered before you book time. Three options, picked in the fit call -- none of them require you to sub-contract me through a 50-page MSA.
Engagement form
- Sub on your paper -- MLDeep contracts to you, you contract to the client
- White-label invoice through your firm
- Direct contract with the client + mutual non-solicit with you
Partner economics
- 10-15% referral fee on direct engagements
- Pass-through at your margin on white-label
- No 12-month exclusivity, no minimums
Trust protection
- Mutual NDA signed before any system access
- Non-solicit clause in every engagement letter
- No outbound to your client during or after, ever
Want the one-page partner terms? Email me and I will send it before the fit call.
How client data is handled
What I commit to in writing -- without overpromising.
Honest version. I am a single-practitioner consultancy. I do not carry SOC 2, E&O insurance, or claims I have not earned. These are the controls you can hold me to:
Mutual NDA on day one
Your fund's template, your client's template, or mine -- whichever you prefer. Signed before any system access.
Read-only by default
No writes to production systems unless explicit scope authorizes it in writing.
Single-practitioner access
No subcontractors, no offshoring, no rotating bench. One named person inside the data.
Engagement-scoped credentials
Provisioned at kickoff, revoked at handoff. No long-lived access tokens.
Engagement-end deletion
All exports, screenshots, and working files deleted within 7 days of sign-off.
Liability bounded to fees paid
Written into every SOW. Cap matches the engagement value, predictable risk shape.
Next step
Bring one client scenario.
The fastest fit check is a concrete client situation: what the partner owns, what the client is asking for, where the technical uncertainty sits, and what decision needs to happen next.
Responds within one business day · calls run 17:00-22:00 IST / 07:30-12:30 ET · no slide deck, no qualification gauntlet.