Built for teams buying CRM as a platform

A CRM platform that lets you extend without a six-month services engagement.

A CRM platform is a different buying decision from a CRM product. Platforms get built on, not just used. Strkr ships the custom object graph, the REST and GraphQL API, the webhook spec with HMAC signing, and the workflow engine as self-service surfaces instead of partner-gated paid add-ons.

What this audience is actually dealing with

The pains that bring buyers here.

A CRM product solves a known sales motion with opinionated defaults. A CRM platform supports many motions over time, which means the extension surface, the API, and the custom-object graph have to be first-class. The pain points below are what Strkr onboarding hears when a buyer frames CRM as a platform rather than a product.

The locked-down object model

Custom objects gated behind the enterprise tier.

Legacy CRMs reserve custom object support for the enterprise tier (Salesforce, Microsoft) or a professional-plus admin plan (HubSpot Operations Hub, Zoho CRM Plus). A mid-market team gets a lead-contact-account-deal schema and nothing else. Strkr ships custom objects on every paid tier with the full field library, relationship graph, and workflow trigger surface available from day one.

The API that is not really an API

Rate limits that make a real integration unaffordable.

Several legacy CRMs ship an API with rate limits that keep the API decorative. A real integration (bi-directional sync with the ERP, event-driven workflow with the data warehouse) hits the ceiling in week one. Strkr ships REST, GraphQL, and webhooks with rate limits built around a real integration budget. The API is a buyer surface, not a decorative one.

The AppExchange tax

Every extension is a third-party line item.

The Salesforce AppExchange model routes every real extension through a third-party vendor. The buyer pays Salesforce for the seat, then pays the AppExchange vendor for the extension. A mid-market team can carry 11 AppExchange add-ons at $8 to $25 per user each. Strkr ships the equivalent capability (dialer-free, LinkedIn-free, SMS-first) inside the base platform.

Integration partner retainer

The services engagement that never ends.

Buying CRM as a platform usually means signing an implementation partner retainer at $12,000 to $18,000 per month for the first year, plus a maintenance retainer at $6,000 to $9,000 per month afterward. Strkr ships the custom object graph, workflow engine, and API as self-service surfaces, which closes the retainer line item for most mid-market teams.

The admin barrier

Point-and-click admin console that lies about complexity.

A CRM that advertises point-and-click admin and then requires an admin certification course is a product, not a platform. Strkr ships a declarative schema editor, workflow builder, and report builder that a non-engineer admin can learn in a day. For engineering-led teams the full API and webhook spec is published, versioned, and documented.

Vendor lock-in on data export

Export your own data and discover it is yours in name only.

Some CRMs lock exports behind the enterprise tier or make the export a limited CSV without the relationship structure intact. Strkr exports the full record graph (objects, relationships, custom fields, activity history, attachments) in a documented JSON format at any tier. The data is yours, and so is the structure.

The platform surface

What Strkr ships as the platform.

A CRM platform is a sum of several surfaces: custom objects, API, webhooks, workflow engine, admin console, and extension points. The cards below are what Strkr ships as the platform rather than as a product feature.

Custom object graph

First-class records across every tier.

Strkr lets the admin define custom objects (project, policy, equipment, matter, patient, vehicle) with first-class treatment: field library, relationship graph, workflow triggers, report inclusion, and search index. Custom objects are not a bolted-on add-on. They are the same substrate as account, contact, and deal.

REST and GraphQL API

Both styles, both documented.

Strkr ships a REST API for simple resource operations and a GraphQL API for complex traversals of the record graph. Both are published to a versioned OpenAPI and GraphQL schema. Rate limits are built around a real integration budget, not a decorative one.

Webhook spec with HMAC signing

Outbound events on every record change.

Every record change (create, update, delete, status transition) fires an outbound webhook with an HMAC signature. The receiving system can verify the signature and act on the event. For event-driven integrations (data warehouse pipeline, Snowflake sync, custom reporting layer) the webhook surface is the primary interface.

Workflow engine

Visual DAG with ~140 block types.

Strkr ships a workflow engine with roughly 140 block types across record CRUD, email send, SMS send, Slack post, webhook fire, waits (duration, condition, approval), branch, call_flow, surveys, and more. Human-in-the-loop approval blocks route to a role with timeout and two outbound ports (approved, rejected).

Admin console

Permissions, roles, SSO, audit log.

The admin console ships with role-based permission scoping on 54 resource types, SSO support (SAML and OIDC on Scale tier), MFA (TOTP plus text verification), Verified Domains, session policy, IP allowlist, and audit log. Admin can tune everything from the tablet or desktop.

Field library and types

Twelve field types, validation rules, picklist control.

Strkr ships 12 field types (text, long text, number, currency, date, date-time, picklist, multi-select picklist, user picker, record picker, boolean, URL) with validation rules, required-field marking, and picklist value management. The admin can rename, retype, or drop any field.

Report and dashboard builder

Declarative query on the live schema.

Strkr ships a declarative report builder that queries the live schema across any object (standard or custom). Reports can be grouped, filtered, aggregated, and visualized. Dashboards combine reports into a managed view with scheduled refresh. CSV export is available on every report.

How teams build on Strkr

The extension patterns the platform supports.

A real platform supports many extension patterns. Below are the five patterns Strkr onboarding sees across platform deployments, each anchored to a Strkr surface.

Bi-directional ERP sync

Account and order data flowing both ways.

A manufacturer or distributor needs account and order data flowing between CRM and ERP. Strkr webhook outbound events fire on account change, and the ERP integration code calls the Strkr REST API on order change to write back. The round trip typically runs under 2 seconds per record. The integration lives on the customer side so the data model stays owned, not partner-controlled.

Custom-object vertical app

Insurance policies, patient records, legal matters.

A vertical team models their domain (insurance policies, patient records, legal matters, construction projects) as custom objects on Strkr. The vertical team ships their own admin console on top of the Strkr object graph using the REST or GraphQL API. The CRM becomes the data substrate, the vertical app becomes the user surface.

Data warehouse pipeline

Snowflake, BigQuery, Redshift sync.

Strkr webhooks fire on every record change. The data engineering team catches the events in a cloud pub-sub, lands them in Snowflake or BigQuery, and runs the analytical workloads downstream. The pipeline runs with sub-second lag typically. CRM data is in the warehouse where the data team actually works.

Email and messaging integration

Gmail, Outlook, Slack, Teams bi-directional.

The admin flips a toggle to enable Gmail or Outlook bi-directional sync, Slack notifications on big events, and Teams channel posts. OAuth consent is per user, so the admin does not manage individual mailbox credentials. The recipes land in under 10 minutes per integration.

Flow-driven background work

Approval chains, scheduled nudges, batch updates.

The workflow engine handles the background work that keeps the CRM honest: approval chains with human-in-the-loop blocks, scheduled nudges on stalled deals, batch record updates when a reference field changes, and multi-step onboarding flows for new customers. The admin builds these in the visual DAG without engineering.

White-label vertical SaaS

A tenant subdomain and your brand.

For teams building a vertical SaaS on top of Strkr, the tenant subdomain pattern lets each sub-tenant land on their own URL ({slug}.strkr.io) with brand colors, logo, and policy references. For deeper white-label needs the Strkr enterprise path supports deeper branding customization.

Strkr AI inside the platform

AI assists on the record graph.

The AI Enhancement add-on at $49 per month includes 5,000 Strkr AI calls that run across the full record graph: email drafts, record fit scoring, inbox buyer-intent scoring, forecast risk flagging, flow description polish, and analytics narration. The AI runs on the custom objects just as cleanly as on the standard ones.

Security and compliance posture

The platform guarantees that enterprise buyers audit.

A CRM platform runs enterprise data. The security and compliance posture matters as much as the feature list. Below are the Strkr posture facts that enterprise buyers audit on the way in.

Encryption at rest and in transit

AWS KMS plus TLS 1.3.

Record data is encrypted at rest with AWS KMS envelope encryption. API traffic is TLS 1.3. Integration tokens for third-party services (Shopify, Meta CAPI, Resend, webhook signing secrets) live in AWS KMS. Platform credentials live in AWS Secrets Manager with role-scoped access.

HIPAA plus BAA

Available on request across tiers.

Strkr is HIPAA compliant with a Business Associate Agreement available on request. For healthcare, medical practice, and health-adjacent tenants the BAA closes the compliance gate without the enterprise-tier upgrade some competitors require.

SOC 2 Type II in progress

Target close 2026-Q4.

Strkr is in audit for SOC 2 Type II with a target close in 2026-Q4. The audit covers security, availability, processing integrity, confidentiality, and privacy. Pre-close evidence (controls, policies, audit workpapers) is available on request for enterprise due diligence.

GDPR plus CCPA

Live today across all tiers.

Strkr is GDPR and CCPA compliant today across all tiers. Data subject access requests, data portability, and right-to-delete workflows ship as admin console features. The audit log captures every data subject interaction for the compliance team.

SSO on Scale tier

SAML and OIDC through Clerk.

SSO (SAML and OIDC) is live on the Scale tier at $119 per seat per month. The admin configures the SSO provider (Okta, Azure AD, Google Workspace, OneLogin) in the admin console. User provisioning via SCIM is available on the Scale tier.

MFA across all tiers

TOTP plus text verification.

Multi-factor authentication is live across all tiers with TOTP (Google Authenticator, Authy, 1Password) and text-based verification as supported methods. The admin can require MFA for all users or scope it to specific roles.

Verified Domains

Prove ownership on Scale tier.

Verified Domains are live on the Scale tier. The admin verifies ownership of an email domain, which gates the SSO configuration and the auto-provisioning rules. Verified Domains close the social-login spoof risk that mid-market CRMs sometimes carry.

Head-to-head

Strkr as a platform vs a locked-down CRM product.

The comparison below is Strkr platform surface versus the common pattern of a CRM product with platform aspirations.

Feature Strkr Legacy CRM with platform marketing
Custom objects Available on every paid tier. Enterprise tier only.
API rate limit Built for real integration volume. Decorative, hits ceiling week one.
Webhook outbound events HMAC signed on every record change. Partial coverage or Enterprise-gated.
App store tax None. Core features bundled. AppExchange or marketplace add-ons.
Partner-led implementation requirement None. Self-service plus onboarding team. $12,000 to $18,000 per month typical.
Data export completeness Full JSON record graph on any tier. Limited CSV, Enterprise for full.
Workflow engine block types Roughly 140 blocks across CRUD and comms. 20 to 40 block types typical.
Report builder on live schema Declarative query across any object. Precomputed cubes, limited custom reports.
HIPAA BAA access Available on request across tiers. Enterprise tier typical gate.
SSO configuration SAML and OIDC on Scale tier. Enterprise tier only.
How teams use Strkr

Five platform deployment patterns.

The playbooks below are patterns Strkr onboarding sees across teams buying CRM as a platform rather than a product.

Pattern A

The vertical SaaS build on top of Strkr.

A six-engineer team building a vertical SaaS for independent insurance agencies used Strkr as the record substrate. They modeled policy, claim, agent, and carrier as custom objects, built a dedicated admin console on top of the Strkr REST API, and used Strkr webhooks to fire into their proprietary rate-quote engine. Time to first paying customer on their vertical SaaS was 11 months, which the founder cited as roughly a year faster than their original build-from-scratch estimate.

Pattern B

The ERP-connected manufacturing deployment.

A 60-rep manufacturing operation needed account and order data flowing bi-directional between Strkr and their NetSuite ERP. The integration ran on Strkr webhooks (outbound on account change) and Strkr REST API (inbound on order write-back). The round-trip latency ran under 2 seconds typically. The integration lived on the customer side via a lightweight Lambda handler, which kept the data model owned, not partner-controlled. Total build time was three engineering weeks.

Pattern C

The data warehouse pipeline into Snowflake.

A 180-rep enterprise SaaS team needed CRM data landing in Snowflake for the analytics team. Strkr webhooks fired on every record change, caught by an AWS SQS queue, and landed in Snowflake via a Snowpipe loader. The pipeline ran at sub-second lag typically. The data engineering team queried the CRM data from Snowflake using their existing tooling, which closed the historical gap between CRM and warehouse analytics.

Pattern D

The platform migration off Salesforce.

A 90-rep enterprise team ran Sales Cloud Enterprise with 14 AppExchange add-ons and a $14,000 per month implementation partner retainer. The CTO ran the numbers and framed CRM as a platform decision. Strkr onboarding ran a 24-business-day migration: custom-object schema design on week one, pilot cohort on week two, report rebuild sprint on week three, cutover on week four. The partner retainer closed. The AppExchange line items closed (dialer, SMS, LinkedIn, document gen, approval routing). Monthly spend dropped 68 percent.

Pattern E

The agency building client portals.

A 42-person digital agency building bespoke client portals for their 11 enterprise clients used Strkr as the CRM substrate under the portals. Each client got a tenant with custom objects for their specific needs (campaign, asset, approval, deliverable). The agency ran the Strkr REST API from their React front-end code. The approval blocks in the workflow engine handled the human-in-the-loop client sign-off flow. Agency margin on each client increased because the platform did the undifferentiated heavy lifting.

Buy a CRM platform instead of a CRM product.

Book a 30 minute call. We will walk through the custom object graph, the REST and GraphQL API, the webhook spec, and the workflow engine against your actual extension needs.

Common questions

What buyers in this bucket ask most.

How is Strkr different from Salesforce as a platform?

Three practical differences. First, Strkr ships custom objects, API, and workflow engine on every paid tier instead of gating them to the enterprise plan. Second, Strkr has no AppExchange tax. The equivalents of the top AppExchange add-ons (dialer-free, SMS-first, document gen, approval routing) are bundled into the base platform. Third, there is no implementation partner retainer. Strkr onboarding runs the implementation inside the subscription, which closes the $12,000 to $18,000 per month services line item most Salesforce buyers carry for the first year.

What does the Strkr API support?

Strkr ships both REST and GraphQL. The REST API covers simple resource operations (CRUD on records, bulk operations, search). The GraphQL API covers complex graph traversals (one query returns an account with all contacts, all deals, all activity, all custom-object references). Both APIs are documented in a versioned OpenAPI and GraphQL schema. Rate limits are built around real integration volume rather than discouraging usage. Authentication is OAuth 2.0 with per-tenant client credentials or user-scoped tokens.

Can we build a vertical SaaS on top of Strkr?

Yes. Several teams do. The pattern is: model your domain as custom objects on Strkr, build your admin and user console on top of the Strkr REST or GraphQL API, use webhooks for event-driven flows, and let Strkr handle the shared substrate (auth, permissions, reports, workflow engine, AI). The vertical team ships faster because the undifferentiated heavy lifting is done. For teams going deep on the vertical build, Strkr can offer a dedicated-tenant discount at the enterprise tier.

How does Strkr handle integration tokens and credentials?

Integration tokens for third-party services (Shopify, Meta CAPI, Resend, webhook signing secrets) live in AWS KMS with envelope encryption. Platform credentials (API keys, OAuth client secrets) live in AWS Secrets Manager with role-scoped access. The admin never sees the raw token value after it is written. The audit log captures every token read, token write, and token rotation. For enterprise buyers with heightened security requirements the KMS keys can be customer-managed (BYOK) through the enterprise path.

What is the pricing for a platform deployment?

Strkr runs flat per seat: $29 on Starter, $59 on Pro, $119 on Scale, with a 14-day trial on paid plans. Custom objects, API, webhooks, workflow engine, and report builder are available on every paid tier. The AI Enhancement add-on is $49 per month flat with 5,000 Strkr AI calls included and $0.012 overage. Strkr Messaging is 2 cents per SMS segment and 5 cents per MMS. SSO (SAML and OIDC) and Verified Domains land on the Scale tier at $119 per seat. For enterprise deployments with heightened security requirements (customer-managed KMS, dedicated tenant, extended audit retention) the enterprise path is custom-quoted.

How do we extend Strkr without engineering help?

Three self-service extension surfaces cover 80 percent of common extensions. First, the custom object editor lets a non-engineer admin define new object types with fields, relationships, and workflow triggers. Second, the visual workflow builder lets the admin wire up logic across roughly 140 block types without writing code. Third, the report and dashboard builder lets the admin query the live schema declaratively. For the remaining 20 percent of extensions that require code (bi-directional ERP sync, data warehouse pipeline, custom integration logic) the published REST and GraphQL APIs plus webhook spec are the extension surface.

What happens to our data if we leave Strkr?

The data is yours and so is the structure. Strkr exports the full record graph (standard objects, custom objects, relationships, custom fields, activity history, attachments) in a documented JSON format at any tier. The export is self-service, not partner-gated or tier-gated. For teams migrating out the exported data lands in a structure that any downstream CRM or data warehouse can read with a parsing adapter. There is no vendor-lock-in on export.

Try it free. Bring your team next week.

No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.