Product-led SaaS
You sell a subscription, not services. Signals, pricing and playbooks are different; use Clay, Apollo or a PLM stack.
How it works · the machine behind the thirteen agents
Sales Brain monitors 170+ buying signals daily, keeps only accounts with a confirmed outsourcing precedent, cross-checks them against your CRM, and hands your sellers a reviewed decision with the buyer, the proof and the message attached. This page is the detail behind that sentence.
Outsourcing-first filtering
Not every company with hiring signals and budget actually buys external services. Before any account reaches your team, Sales Brain confirms that the company has either an existing outsourcing relationship, a procurement route for external vendors, or a documented history of working with third-party integrators, agencies and consultancies.
Signals in · decisions out
LiveGate · confirmed outsourcing precedent
Most signals stop here
Outsourcing gate · at least one proof required
A named integrator, agency or consultancy already delivers work
Frameworks, tenders or a documented purchasing path
Previous projects visibly delivered from outside the building
No proof · account never reaches your team
Proof confirmed · account enters review
The arithmetic
This is a cost comparison, not a promise. Judge it against your own numbers.
What the current setup costs
What the engine replaces
Figures above are illustrative market ranges for a consultancy sales setup. Sales Brain runs the data, research and verification work inside Ivan's managed service, so those licences and that research time do not sit with your team.
Fit
Built for consultancies selling expertise and complex delivery — not SaaS companies or product startups. Deal cycles run weeks to months, context gets lost between reps, and research time is the biggest bottleneck.
Firm types
You are a fit if
A team of 2+ people doing outbound or account-based sales. A CRM with at least 6 months of history. Engagements sold as projects, dedicated teams or ongoing delivery. A willingness to let an engine make Pursue, Watch and Pass decisions instead of the team guessing.
Fit filter
Fit
You sell a subscription, not services. Signals, pricing and playbooks are different; use Clay, Apollo or a PLM stack.
No long buying cycles, no named buyers, no procurement.
Research time exceeds the deal value and volume is the only lever.
Not enough delivery capacity or sales volume to justify a managed research engine.
We need a history to reactivate and a workflow to plug into.
Upwork, Fiverr and Toptal-style platforms already provide the matching layer.
The engine improves the decision before contact, not the send volume.
Fit map · where Sales Brain works
B2C / commodity
B2B, named buyers
Shaded quadrant · long cycles, named buyers, services sold to companies
Sales Brain is built for software-development and AI consultancies selling complex delivery to named buyers. If that is not your model, no amount of data will help.
Coverage
We track buying intent across 6 signal families and dozens of data sources, from regulatory deadlines and leadership moves to tender registries, tech-stack shifts, competitor deprecations and procurement precedents. Not all signals matter for every consultancy; we filter to the ones that create externally deliverable software-development or AI work for your specific offer.
Deadlines, audits, reporting regimes and licence conditions that force a project with a date.
New owners of a mandate, former champions arriving at a new company, teams being built or frozen.
Tender registries, framework agreements, expiring contracts and named vendors on previous awards.
Stack changes, end-of-life notices, competitor deprecations and migration announcements.
Hiring that cannot close in time, parallel systems after a merger, roadmaps already committed.
Existing integrator relationships, third-party case studies and a documented route for external vendors.
The problem
The right context is usually missing when someone decides what to do next.
What happens
What gets lost
A prospect says, "Come back after budget approval"
The date passes without a follow-up using the original context
A client postpones a product phase, retainer or team extension
The opportunity stays marked as lost after the situation changes
A former buyer or CTO joins another company
The relationship remains attached to the old CRM record
A proposal is rejected because of timing or priorities
The reason is buried in notes and is not used again
A salesperson leaves or changes territory
Their knowledge of buyers, objections and commitments leaves too
A company has strong hiring signals but never used an external partner
Sales chases an internal-only shop for months before discovering it
A prospect asks for an estimate
Delivery spends time before sales confirms a real project and buying path
Prospecting tools add more records, but the team still has to decide whether an account is worth the effort. Good accounts are forgotten, weak accounts consume senior sales time and each campaign starts too close to zero.
Output
Not a list of names. A reviewed commercial situation that is ready for a decision.
Illustrative opportunity produced for a software-development consultancy
$480M assets · 6 branches · Ohio
Next action · dual-track approach
Track A — direct to owner
Message M. Gonzalez with a short note connecting her mandate, the instant-payments deadline and your community-bank core-integration case. Offer a 20-minute scoping call before any RFP is drafted.
Track B — through the integrator
Contact the engagement lead at Great Lakes Digital Partners. They know the environment, likely have the buyer relationship and may subcontract the integration work rather than compete. Position your bench as a plug-in team they can white-label.
Both tracks run in parallel over 5 business days.
Every reviewed account ends in one state:
Enough evidence exists to justify action now.
Act after a defined event or date.
There is no supported reason to spend sales time.
There is no unexplained lead score. The evidence, inference, unknowns and reason for the decision remain visible.
Sales Brain maps both the buying center and the vendor ecosystem around it. A competitor on the last project is often a partner on the next.
Objections
Short answers, in the order they usually come up.
Those return records. Sales Brain returns decisions. You can drop the seats your team only opens to do research, and keep your CRM as the system of record.
They keep the outreach. We remove the research and the wrong accounts, so the same team works a shorter, better list with the buyer, proof and angle already attached.
The CRM Archaeologist agent shows what is recoverable and what cannot be trusted, and we do not fill the gaps with assumptions.
Public and licensed sources only, processed in the EU, NDA before any review, deletion on request, and your sales history is never used to train a shared client model.
The diagnostic on this site returns its read immediately. The first reviewed accounts come from the first agreed batch of research, and scope and timing are agreed with Ivan.
Then the honest output is Watch or Pass with a stated reason. You judge the decisions on accounts you already know, and every claim carries its source.
Compare
Clay, Apollo and ZoomInfo can return records, enrich fields and automate steps. They do not decide whether an account can realistically buy your services, whether the work matches your delivery model or whether contacting it is a good use of sales time.
One research and qualification engine
Sales Brain prepares data, research, verification and decisions for Ivan's managed service
Current layer
What it provides
What remains unresolved
Clay
Enrichment and workflows
What to research and which evidence matters
Apollo / ZoomInfo
Company and contact data
Whether to pursue the account and who owns the problem
Intent feeds
Signals and activity
Whether the change creates externally deliverable work
AI writers and sequencers
Messages and sends
The hypothesis, buying route, proof and safe claim
Analysts and spreadsheets
Manual research
The decision, next action and reusable memory
Sales Brain is the research and qualification engine behind Ivan Lapsha's managed sales service. It runs the data, research, verification and decision process that supports the service.
Your team does not need separate Clay, Apollo or ZoomInfo seats. Sales Brain may use public sources, licensed data and specialist services behind the scenes, but selecting and operating them is our responsibility.
Your CRM remains the system of record. The reviewed queue can be delivered into your CRM, Slack or the seller's inbox. Approved outreach runs through Ivan's managed sales service after the commercial approach is agreed.
Installation
Sales Brain is configured around what your company can sell, how your buyers purchase and what your team has already learned.
Services, target problems, delivery models, market boundaries, buying routes and reasons not to pursue.
Accounts, buyers, champions, proposals, objections, commitments, campaigns and approved cases.
Company changes, buyer moves, projects, procurement, outsourcing precedent, external supplier history and events that reopen a conversation.
Evidence rules, explicit unknowns, Pursue/Watch/Pass thresholds, buyer selection, proof matching and next actions.
Account cards, CRM fields, seller notifications and regular recalibration from what progressed, stalled or proved irrelevant.
The same system can support new logos, expansion, reactivation, partners and retention.
Operation
For each account that survives review, the team receives:
Today's reviewed queue
Delivered 07:00Riverbend Community Credit Union
New Head of Digital Banking
Halden Logistics Group
Two ERP systems after merger
Arden Mutual Insurance
Tender expected in Q4
Kestrel Manufacturing
Internal-only IT, no vendor history
What we measure · illustrative
Seller acceptance of reviewed accounts
Time from change to decision
Reopened conversations
False-positive signals removed
Not the number of records produced.
Sales Brain also records why other accounts were placed in Watch or Pass, so another salesperson does not research the same weak hypothesis next month.
We measure decision quality and commercial use, not the number of records produced. Relevant measures include seller acceptance, time from change to decision, activated or reopened conversations, opportunities created or advanced and false-positive signals removed from future research.
Where it starts
A CRM usually already contains prospects worth reopening: old proposals, postponed projects, former champions and buyers who asked to be contacted later. That history is the first place the engine looks.
What the engine reads from history
Gaps are made visible rather than filled with assumptions. Scope and sequencing are agreed with Ivan Lapsha as part of his managed service.
15 CRM accounts reviewed
Five business days
Pursue · 3
Watch · 5
Pass · 7
Illustrative distribution. If the evidence does not support activation, the correct output is Watch or Pass with a reason.
Path
Interactive demonstration · about six minutes
Confirm one offer profile, define a market boundary and see the type of Pursue, Watch and Pass decisions the engine produces.
Research first
The engine models what the consultancy can credibly sell, its case library, exclusions and evidence rules, then sets the Pursue, Watch and Pass thresholds.
Before anything is activated
Ivan reviews each account, its evidence, the buyer map and the proposed approach. Weak evidence becomes Watch or Pass with a stated reason.
Through the managed service
Once the commercial approach is agreed, outreach runs through Ivan's managed sales service, and outcomes recalibrate the engine's thresholds and proof library.
Sales Brain is not software access. It is the research, qualification and preparation capability inside Ivan Lapsha's managed sales service, and it improves with every reviewed decision.
How Sales Brain is delivered
Sales Brain is not sold as standalone software. It is the engine behind Ivan Lapsha's managed service.
This page exists to show how the engine reads a market, filters it and prepares an account. Scope, terms and commercial details live on Ivan's managed-service page.
Data
We can start with a controlled CRM export or agreed read-only access.
Data boundary · NDA can be signed before review
Your systems
Your Sales Brain only
Never leaves the boundary
An incomplete CRM limits what can be recovered from history; it does not prevent the wider system from monitoring new logos and market changes. We make gaps visible rather than filling them with assumptions.
FAQ
No. A database tells you who matches filters. Sales Brain investigates what is happening, whether it creates work an external supplier can deliver, whether the company has a history of outsourcing, whether your company has a credible right to win and what should happen next.
Not as tools your sales team has to buy, configure and operate. Sales Brain handles the required data, workflows and verification as the research and qualification engine behind Ivan Lapsha's managed sales service. Your CRM can remain the system of record.
No. Sales Brain is not sold or licensed on its own. It is the engine behind Ivan Lapsha's managed sales service, and access to it comes with that service.
Research first, human review before activation, then approved outreach. The engine prepares the account, evidence, buyer, proof and message; outreach runs through Ivan's managed service once the commercial approach is agreed.
The engine shows what can be recovered and what cannot be trusted. It can still investigate new accounts and market changes without a rich history.
Yes. The engine is built for consultancies selling expertise and complex delivery: software development, custom engineering, and AI, ML and data work. The offer model, proof library and signal set are configured around your specific practice.
Ivan Lapsha and a small research team at Humatech Labs, with automation behind the scenes. Every account that reaches a seller has been checked by a person, and one named operator stays accountable for decision quality.
Yes. An NDA and a data processing agreement can both be signed before any CRM export is reviewed. Sources and access scope are agreed in writing in advance.
Everything already delivered — decisions, evidence, contacts, messages — stays with you, there are no platform seats to unwind, and provided data is deleted on request.
You can see how the engine reads an offer in the free diagnostic on this site. Scope, approach and commercial terms live with Ivan Lapsha's managed sales service.
Built for consultancies selling expertise and complex delivery—not SaaS companies or product startups.