The AI vendor front door
Your AI vendor
front door.
Forward the pitches, tool requests, and shortlisted AI vendors. Mainspan screens each one against workflow fit, evidence quality, security posture, integration burden, duplication risk, and measurable business impact, then tells your team what deserves time and what to ignore.
What you get back
We help you decide which AI vendors not to meet.
A buyer specific decision queue, not another market map. Forward a pile of vendors and get back a routed verdict for each, with the reason behind it.
The shift
From scattered pitches to a decision process.
Why now
AI vendor overload is now an operating problem.
Every department is being pitched AI tools. Technology and procurement are left deciding what is real, what is risky, what duplicates existing tools, and what deserves a meeting. Mainspan gives buyers one controlled path for AI vendor intake, triage, evaluation, and decision memory.
What Mainspan does
One controlled path for
every AI vendor.
We collect, classify, dedupe, fact check, risk flag, compare, and route, then keep a living record of every decision.
Collect every pitch and request
AI vendor emails, internal tool requests, shortlist candidates, and renewal questions enter one intake.
Classify by category and workflow
Each vendor sorted by what it does and the workflow it claims to improve.
Detect duplicate tools
Flag vendors that overlap with software you already own, from Microsoft to Salesforce.
Separate claims from evidence
Every claim checked against visible proof: documents, references, and trust centers.
Flag security and data risk
Security posture, data handling, model training, and integration concerns surfaced early.
Compare against your needs
Vendors scored against your real workflows, stack, and constraints, not a generic category.
Recommend the next step
Ignore, ask, demo, run diligence, pilot, or reject, with the reasoning behind it.
Keep a vendor registry
A living record of every vendor considered, rejected, approved, piloted, or renewed.
How it works
One front door. Four steps.
A structured pipeline that turns a messy pile of pitches into a decision file, the same way every time.
Forward the vendor pile
Send AI vendor emails, internal tool requests, shortlist candidates, renewal questions, or whole categories under consideration.
Add buyer context
Share your current stack, workflow constraints, security requirements, business goals, and existing tools.
Receive a decision file
A ranked shortlist, a reject and watchlist, risk flags, evidence notes, vendor questions, and recommended next steps.
Keep the intake running
New vendors and tool requests enter the same process, building a living registry and reusable decision memory.
Not a one time report
A standing AI vendor control desk.
Mainspan becomes the first screen for AI vendor pitches, internal tool requests, shortlisted products, and renewal questions. Every vendor is logged, categorized, checked against your workflows, compared against prior evaluations, and routed to the right next step.
- AI vendor intake inbox
- Vendor triage queue
- Living vendor registry
- Monthly vendor digest
- Approved, watchlist, and rejected lists
- Deep dive evaluations for serious candidates
- Renewal and consolidation reviews
- Security and procurement pre screen
- Decision memos for leadership
The output
See what your AI vendor pile becomes.
Not a generic market map. A buyer specific decision file your team can act on, and defend.
- 37 vendor emails
- 11 categories
- 6 duplicate capabilities
- 4 vendors claiming enterprise grade security without clear evidence
- No comparable decision file
- 5 vendors worth reviewing
- 3 sent to security
- 8 on watchlist
- 21 ignored
- 2 duplicate tool warnings
- 1 executive decision memo
- 01Triage decision
- 02Buyer fit score
- 03Claims verification
- 04Security and data posture
- 05Duplicate tool check
- 06Integration burden
- 07Total cost of ownership estimate
- 08Evidence gaps
- 09Vendor questions
- 10Recommended next step
Who it is for
One process, tailored to how your team buys.
Built for any organization drowning in AI vendor pitches and internal tool requests. Private equity is one segment, not the whole story.
Stop random calls becoming random decisions
A structured front door so vendor pitches do not turn into unmanaged tools, with risk surfaced before review.
Pre screen before review time is spent
Vendors are screened for fit, evidence, duplication, and risk before they reach procurement, legal, or security.
A consistent intake and evidence trail
Every AI tool enters through one process, with claims, evidence, and decisions recorded for later scrutiny.
One standard across the portfolio
Standardize AI vendor intake across companies, spot reusable patterns, and stop each company wasting time on weak tools.
Why us
Built by engineers who shipped
software at Apple.
Mainspan is designed around the habits serious buyers need from AI evaluation: structured evidence, careful review, controlled data handling, and outputs that survive leadership, procurement, and security scrutiny.
Neutrality
Buyer side only. No pay for placement.
Neutrality is not a footnote. It is the entire reason a front door can be trusted.
- Vendors do not pay for placement.
- Recommendations are made for the buyer only.
- Every claim is separated from the available evidence.
- A person reviews every client facing recommendation.
- Sensitive materials are handled within the engagement.
- Vendor outreach is not shared with third parties without approval.
Get started
Send us 5 AI vendors.
Get a triage snapshot back.
Forward five AI vendor pitches, internal tool requests, or shortlist candidates, plus a little context on your stack and goals. We return a routed verdict for each, with the reasoning, the risks, and the proof still missing.