The operating system for sales-engineering leaders
Run the Monday review
in fifteen minutes.
Evivant reads Salesforce, Calendar, and Gong, ranks the five deals worth talking about, tells you the next move on each, and remembers what you decided last week — so your SEs never log a thing.
Live, seeded demo — no signup, no Salesforce connection. You’re inside in one click. Or email hello@evivant.io.
Your Monday call is half storytelling. Evivant makes it evidence.
Presales runs a weekly deal review whether a tool helps or not — a Salesforce scan, a Slack scramble, a POV doc nobody opens. Most of that loop is wasted. Evivant is built around the loop instead of bolted onto it.
Not a forecasting tool — Clari does that. Not conversation intelligence — Gong does that. Evivant is the operating loop that sits on top of both, and turns their raw signal into the five decisions you actually make on Monday.
Run the POV in the deal, not in a doc nobody opens.
Your SEs stop re-keying status into spreadsheets. Buyers see a live, honest scorecard through one expiring link — and you can see exactly what they engaged with.
POV-in-the-deal
The evaluation is a tab on the Salesforce Opportunity — not a sibling tool. Activity, conversation signals, and stakeholders flow in automatically.
Import, don’t re-key
Paste the customer requirements spreadsheet. Evivant parses categories, expected results, and SE-note status, then auto-creates the validation items. No re-typing the RFP.
Buyer-ready Proof Room
A tokenized, read-only, no-login scorecard reachable through one unique link with a default 7-day expiry — rate-limited and non-enumerable. Internal evidence is filtered out at the database boundary.
A structured evaluation tree
Weighted criteria (Must-have / Important / Nice-to-have), checklists, owners, and per-node validation capture: who validated it, when, and by what method.
Six grounded verdicts, never a binary
Every claim a buyer asks about resolves to a graded verdict — with the evidence behind it, or an honest “we don’t know yet.”
Buyer engagement surfaces as sanitized, PII-stripped signals — a reaction, a question, a re-open — never raw buyer prose.
Artifacts the champion can take internal
Each is assembled deterministically from validated outcomes — every section traces to evidence, nothing is fabricated. Citations only render when the source link is HTTPS and on a fixed allowlist of vendor and public-docs domains, so a pasted internal Confluence or S3 link can never reach a buyer PDF.
See which deals to watch — and your real pipeline, not rep self-report.
Half your Monday call is rep storytelling. Evivant discounts raw pipeline down to what the evidence supports, and ranks exactly which at-risk deals to work this week — within a realistic capacity.
Forecast-truth waterfall
Illustrative · demo orgRaw pipeline is discounted by proof posture into disjoint buckets. The protected buyer-validated band at the bottom is the number you can defend to the CRO.
Which deals to watch
Recovery moves are ranked by expected value — deal amount × win-probability lift — across at-risk deals, then packed into a capacity-capped week.
A move only appears when it adds ≥2 percentage points of win probability — ranked by lift per hour, grounded in your own won-deal medians.
Pipeline cleanliness
IllustrativeDeals stuck 1.5× (aging) or 2.0× (zombie) the typical time in their stage — using per-stage medians learned from your closed deals.
Stages without enough history are reported as still baselining — never silently counted as clean.
Concentration risk
IllustrativeHow much of the forecast leans on too few accounts — and what happens if your biggest deal slips.
Every leadership number self-discloses a cold or building state when the data is thin. Evivant would rather say nothing than fabricate a figure — so the numbers you take into the forecast call are numbers you can stand behind.
Why we lose: closed-lost deals are classified into seven origin categories with per-deal evidence — descriptive, what we observed, never a causal root-cause claim. Capacity is operational planning, never per-rep performance scoring.
The engine underneath — and how we earn the numbers.
Every formula, threshold, and schema below is the same code that runs in product. The point isn’t the math for its own sake — it’s that you can always ask why and get an answer, not a vibe.
Every prediction comes with its reasons.
You can always ask why a deal is at risk and get a formula, not a feeling. The win-probability score is a real per-customer model — and every score decomposes into the top forces pushing it up and pulling it down, rebuilt live so the explanation always matches the deal’s current state.
A per-customer logistic-regression model trained on your own closed deals — plain TypeScript, no external ML library, no opaque service. Twelve deal-shape features, cross-validated, scored on a held-out Brier metric. Every coefficient is auditable.
Under the hood · the model
Trains only on ≥30 closed deals with full outcome snapshots, and ≥8 won and ≥8 lost. It rejects its own trained model if it can’t beat the naive majority-class base rate — a model no better than guessing the common case never ships. Each org trains on its own outcomes; no shared weights.
The 12-feature vector
| # | Feature | Meaning |
|---|---|---|
| 0 | healthScore | Composite deal health |
| 1 | threadingScore | Stakeholder coverage |
| 2 | championHealth | Key-contact engagement |
| 3 | committeeScore | Buying-group breadth |
| 4 | dysfunctionScore | Decision friction |
| 5 | technicalDebt | Unresolved evaluation gap |
| 6 | activityCount30d | Meetings + calls (30d) |
| 7 | meetingCount30d | Meetings only (30d) |
| 8 | closeDatePush | Timeline slippage |
| 9 | uniqueStakeholders | Distinct externals |
| 10 | stageProgress | Pipeline position |
| 11 | totalActivities | Lifetime engagement |
Each feature is min-max normalized against stats persisted with the model; out-of-range inputs clip to the training range, missing values impute to the training median.
We discount raw pipeline to what the evidence supports.
The forecast-truth waterfall (shown above) and pipeline-cleanliness bands run on per-stage velocity medians learned from your own closed deals — with a measurable-only denominator, so a stage you haven’t run enough of is reported as baselining rather than quietly counted as healthy.
The product refuses to state a number it hasn’t earned.
This is the differentiator. Predictions are logged automatically, graded against real outcomes when deals close, and thresholds recalibrate weekly from your own graded deals. Auto-detected actions stay guesses until a human confirms them — operator clicks never silently feed the accuracy numbers. And when you flag a deal, act, the health recovers, and it wins, that’s graded a save, not a false positive.
Sample floors, stated plainly
Below these thresholds, Evivant shows a transparent cold state — never a fabricated number.
| Claim | Floor before it publishes |
|---|---|
| Accuracy shown at all | 20 resolved predictions |
| Published rate (±15pp band) | 40 graded outcomes |
| Tight hero metric (±10pp band) | 96 graded outcomes |
| Leader-grade accuracy claim | 150 graded predictions |
| Win-probability model trains | 30+ closed · ≥8 won · ≥8 lost |
Browse the engine catalog · six families, 40+ engines
The part that makes people say “wait — this isn’t a CRM skin.” Each engine is a mostly-pure function that reads a deal plus its activity graph, computes a value, and writes it back so the UI renders from a single query. Hover, focus, or tap any tile to read its method.
Built on 84 multi-tenant data models, every record scoped to your org. Engine names are drawn directly from the live codebase.
Every formula, threshold, and schema shown here is from the product. Sample dashboards on this page use illustrative data from the live demo org — not customer results.
Built for the VP/Director of SE — and the SEs who never log in.
VP & Director of Sales Engineering · 5–30 SEs · B2B SaaS · running 2–10 concurrent POVs.
- Which five deals to watch this Monday, with the reason on each
- True, proof-discounted pipeline health — not rep self-report
- The forecast-truth waterfall you can defend to the CRO
- Decision Recall — what moved against last week’s calls
- Concentration risk before too much rides on one account
- Zero data entry — required fields are forbidden by design
- The POV lives in the deal, not in a doc that goes stale
- A buyer-ready scorecard you hand over and can track
- The Fix-This next move, phrased once from the deal’s own signals
- No login required to get value — it runs on what already exists
We read. We never write. Every byte is scoped to your org — enforced in code, not policy.
The trust story a VP SE’s security team needs to greenlight access — stated honestly, including what we don’t do yet.
Read-only access model
Read-only OAuth on Salesforce, Google Calendar, and Gong. We never write a record back to your CRM. Each integration is a separate, revocable grant — disconnect anytime and access stops immediately.
Data we never store
We do not store raw call recordings or audio, transcript bodies, or LLM prompt and response text. Behavioral engines run on auto-matched activity metadata, not message content.
Encryption at rest
OAuth tokens are encrypted at rest with AES-256-GCM; in production the app fails closed if the key is missing. Tokens are never logged and never exposed to the browser.
Tenant isolation
Every database query is scoped to your organization at the database layer — and enforced by an automated test that fails our build, not by convention. Raw SQL is banned across the server codebase.
Operational posture
Sync runs every 15 minutes with an audit log per run. Background jobs are authenticated with a shared secret and per-org checks. Logs auto-redact secrets. Sessions are stateless JWTs with a 7-day lifetime.
Report an issue
Found something? Email security@evivant.io and we’ll respond quickly. Read the full posture on our Security page.
Subprocessors · what each one receives
Compliance posture, kept honest.We hold no formal certifications yet. We do not claim SOC 2, ISO 27001, HIPAA, GDPR controls, SSO/SAML/SCIM, or data-residency guarantees. What we can tell you is exactly how your data is handled today — and we’d rather state that plainly than imply a badge we haven’t earned.
Built on a current mainstream stack — Next.js 16, React 19, Prisma 7 on Neon Postgres — backed by a deep data model (84 models) and over 1,400 automated test files, most of them architecture-enforcing guards rather than happy-path checks.
Why we built Evivant.
Presales runs a weekly deal review whether a tool helps or not. Reps self-report, and the number lies. We built Evivant so a sales-engineering leader can see the truth — which deals to watch, what’s actually been validated, what to do next — and so SEs never have to log a thing.
Honesty is a product principle, not a tagline. Evivant underclaims when data is thin, grades its own predictions against real outcomes, and tells you when it isn’t sure. The numbers it shows are numbers you can defend.
Talk to us: hello@evivant.io
Early Access is a partnership, not a trial.
A small cohort of SE leaders shaping the Monday operating loop with us — with the full product, real influence on the roadmap, and a direct line to the founders.
VP / Director of Sales Engineering · 5–30 SEs · B2B SaaS · running 2–10 concurrent POVs.
The full product against your Salesforce (read-only), white-glove onboarding, and a direct line to the founding team.
No credit card. Salesforce stays read-only. Salesforce alone is enough to start — Calendar and Gong sharpen the scoring.
Demo: explore now, no signup. Early Access: shape the roadmap with us → hello@evivant.io
The questions a VP SE asks before connecting Salesforce.
Does it write to my CRM?
Do my SEs have to log in or enter data?
What if we don't use Gong?
How is my data isolated from other customers?
What happens to my data if we leave?
Is the AI making things up?
Are you SOC 2 or HIPAA certified?
Walk the Monday Ritual, open a real POV, and see how Recall reads — before connecting Salesforce.
No credit card. Salesforce stays read-only. Most operators start with the demo.
Demo: instant, no signup. Early Access: talk to us → hello@evivant.io