AI-native CRM
The first CRM where AI is the engine, not an add-on. Photon captures your customer conversations automatically, keeps every deal current without data entry, answers in plain language with the receipts, and lets an approval-gated agent do the busywork — so your reps spend their day selling, not feeding a database.
Ambient by default Lightning-fast Secure by construction
The $128,400 renewal closes Mar 31. It slipped to at risk six days ago: your champion went quiet after the Feb 12 pricing call thread #4192, and Procurement raised a term-length objection mtg 02/12. Two commitments are still open 3 records.
Awaiting your approval
Re-engage Dana Whitfield with a 2-year option priced from the catalog, and hold Thursday 10:00 for a blocker call with Procurement.
Illustrative session · sample data
The problem with “CRM + AI”
Traditional CRM
Salesforce, Zoho, HubSpot and the rest were built as systems of forms. Reps log activity by hand, so the data is stale the moment they get busy — and forecasts, reports and “AI insights” are only as good as that decaying data.
Their AI is a bolt-on: a copilot panel stapled onto a forms database that can hallucinate, can’t show its work, and can’t safely act. You pay for seats, then pay again in the hours reps lose to admin.
Photon inverts the model
There is one agent runtime. Every capability — forecasting, CPQ, territory, deal rooms — is a typed, governed tool over an event-sourced core, not a screen.
A human and the agent use the identical tool, under one permission model and one human approval gate. The result is a CRM that updates itself, explains itself, and proves itself.
| Capability | Traditional CRM | Photon AI CRM |
|---|---|---|
| Data entry | Manual logging; data goes stale | Ambient capture — email, calendar, meetings, chat & docs flow in automatically. No more stale data. |
| AI | Bolt-on copilot, hallucinates | AI is the spine. Every feature is an agent tool; answers are grounded with drill-to-source. |
| Answers | “Looks plausible” | Never invents a number. The agent narrates; figures come only from your records, and every claim links to its source. |
| Forms | Endless fields | No forms. Say or type it (“start a renewal with Acme, ~$120k”) → a confirm card → done. |
| Deals stay current | Only if reps remember | Self-updating — the agent detects signals (going dark, pricing pushback) and proposes the next best action. |
| Trust to act | Risky automation, or none | Human-gated autonomy — the agent drafts and prepares; a person approves; everything is reversible & audited. |
| Consistency | Same question, different answer | Deterministic — the same question over the same data returns the same answer, every time. |
| Security | Add-on, configurable | Fail-closed by construction — tenant isolation, RBAC and a money boundary are architectural, not settings. |
Four ways Photon is fundamentally different
Photon is an agent operating system that exposes CRM capabilities. One runtime, one tool registry, one trust boundary, one generative UI.
No feature has a code path that bypasses the governed tools — so AI isn’t a feature you toggle, it’s how the whole product works.
Conversations are captured ambiently and turned into a unified customer memory — concerns, commitments and action items, all source-linked.
Deals advance on real signals, not reminders. Reps stop being data-entry clerks and go back to selling.
“What’s the latest on Acme?” “List every at-risk renewal.” “What’s my pipeline by stage?”
Photon answers from your actual records — grounded, cited and exact (real lists and totals, not a sampled guess) — and says “I don’t know” rather than making things up.
Long-lived agents watch each deal and wake only when something matters — cheap signal gates keep the cost down. They propose: re-engage a stalled deal, prepare a 2-year quote, book a blocker call.
A human approves. Money never moves autonomously. Every step is logged and reproducible.
Everything Photon does today
Every item below is a typed tool on the same runtime, available to your team and to the agent under one permission model.
Mailbox, calendar, meetings, chat and document ingestion, with automatic attribution to the right account and deal. Concerns and action items are extracted with full provenance, so the customer’s story is always current — and always traceable back to what was actually said.
Grounded natural-language Q&A with inline sources, exact structured and aggregate queries (list / total / by stage), and no-forms conversational record creation.
Hands-free query, capture and quoting for the field, with spoken confirmations — the same tools, driven by speech.
Accounts, opportunities and a stage pipeline with roll-ups, a synthesized account/deal timeline, and an identity graph of contacts and typed handles across every channel.
Deal Health with its contributing factors, plus an evidence-bearing Next-Best-Action. No score without a reason you can inspect.
Signal detection and draft re-engagement, an approval queue with edit-as-training, configurable autonomy ceilings, and full agent-activity transparency. The agent prepares the work; a person decides. Every decision it makes leaves a trace you can replay.
Learned win-probability with confidence bands, quota attainment and pacing, hierarchical roll-ups, and territory/ownership management.
A rule-guarded catalog with deterministic pricing — the AI never computes money — e-sign-ready quotes, grounded proposals, and buyer Deal Rooms that double as engagement sensors.
Ad-hoc document upload with auto-association, chat-moment extraction, and universal bulk import/export — CSV, MBOX and PST replayed as history — with verifiable export.
A session shell built like a coding agent: New Session, recent and pinned history, full thread resume, and device transfer — start on the web, continue on your phone or by voice.
Pin any answer as a live, always-fresh artifact that drills back to its sources. If the number changes, the tile changes.
IAM with SSO sign-in, role- and tier-based entitlements, an admin console, agent and cost governance, an audit log with rollback, and self-service data rights.
Web == mobile == voice, over shared view-models, on a token-driven, accessibility-first design system.
Built for speed
Photon turns “thinking” into a read instead of a recompute. Repeat questions are effectively free, and idle agents cost almost nothing.
Two-speed
Interactive turns run on a local-first fast path with latency-critical edges in Go; long-running agent work happens asynchronously and never blocks you.
Determinism cache
Answers are keyed on (tenant, intent, data-version) and hits return verbatim — the same question over the same data, instantly.
Precomputed
A materialized relationship graph, a feature store for health and forecast inputs, vector indexes, and a per-tenant agent working-set.
Signal gates
Long-lived deal agents sleep behind inexpensive signal gates and wake only when something actually matters.
Secure by construction
Every surface — data, agent memory, sessions, the audit trace, cached answers — is tenant-scoped at the database (row-level security) and at the authorization layer (OpenFGA RBAC), behind a single authenticated gateway. One tenant can never see another’s data or its existence; a cross-tenant leak is treated as the catastrophic failure and red-teamed continuously.
Inbound email, chat and docs are quarantined; the agent never acts on raw untrusted text. Outputs are grammar-constrained so invalid output is unrepresentable, data flow is taint-labeled, and approvals are content-bound — you can’t swap the message after it’s approved.
Billing and payments live in a separate context with deterministic rails. The agent may prepare but never autonomously moves money — every charge crosses a human gate.
OIDC SSO with Google and Microsoft, httpOnly sessions through the gateway, short-lived tokens with revocation, deprovision-blocks-re-auth, per-tenant secret sealing and crypto-shred erasure.
Because the system is event-sourced and deterministic, every agent decision persists a trace you can replay and explain — the receipts behind every number.
The bottom line
Traditional CRMs make your team work for the database. Photon works for your team — capturing the conversation, keeping deals current, answering with proof, and doing the busywork under your approval. Faster because it precomputes, safer because isolation and the money boundary are built in, and smarter because AI is the engine, not the add-on.
No data entry. No hallucinated numbers. No autonomous spend.