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DevRev Startup Deals & Discounts

AI-native platform uniting customer support, product engineering, and CRM around one knowledge graph

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Deal Overview

Best Offer

$10K

Total Value

$10K

Available Deals

1

Available Deals

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Open Access10K

$10,000 in credits during 12 months

$10,000 in credits

Promo code, redemption steps & eligibility

DevRev Startup Deals - Overview

DevRev runs an application-based startup program that gives eligible early-stage companies platform credits to adopt its AI support and product-engineering tooling without large upfront cost. Approved startups can receive up to $10,000 in DevRev credits applied across a twelve-month window. Because the platform uses a consumption-based credit model, these credits directly offset the cost of running AI agents, automations, semantic search, and connected-data sync - the activities that drive most usage on the platform.

The program is aimed at founders building product-led software companies who want their support desk and engineering roadmap working from the same data from day one, rather than stitching together separate tools they will later have to migrate off. Eligibility is assessed through an application using typical startup-program criteria such as company stage, funding status, and how recently the business was founded.

Since the credits are time-bound over the year, the value lands best with teams that actively deploy DevRev during that period. Founders should review the current terms and credit amount at the time they apply, as startup-program details and AI pricing models continue to evolve.

About DevRev

Most software companies run support in one tool, track bugs in another, and manage customer relationships in a third - so the people answering tickets and the people writing code rarely share the same picture. DevRev was founded to collapse that divide. Its current platform, branded Computer by DevRev and built on the AgentOS architecture, treats support, product engineering, and CRM as one system...

Key Features

Customer-product knowledge graph

A unified graph connects identities (users, support engineers, PMs, developers) to parts (products, features, APIs) and ties together conversations, tickets, issues, enhancements, and opportunities, so support and engineering work from the same source of truth.

Agent Studio for no-code AI agents

Teams build, sandbox-test, and deploy AI agents without writing code, then run bulk evaluations before going live. Observability exposes session traces, guardrail logs, and token usage, and approval gates require human sign-off on sensitive actions.

Computer AirSync two-way data sync

A patented two-way sync engine connects source systems such as GitHub and Jira and propagates changes in real time, creating a live digital twin of organizational data instead of one-directional copies that quickly go stale.

Computer for Support

A support surface with an AI bot, semantic search, automatic clustering to reduce ticket noise, product and user analytics, and real-time notifications, all linked back to the specific product part each conversation concerns.

Computer for Builders

An engineering surface that creates real-time pathways between customer tickets, backend issues, product enhancements, and code activity in GitHub, so developers see customer impact and prioritize work against it.

Shared Memory and snap-in marketplace

A persistent, permission-aware memory layer stores structured and unstructured data so context compounds across teams, while snap-ins, a 100+ integration marketplace, and a serverless workflow engine extend automation across the stack.

Pros & Cons

Pros

  • Genuinely unified data model - support, product, and engineering share one knowledge graph, so a customer ticket can trace straight to the feature, issue, and code change it relates to without manual cross-referencing.
  • Governable AI agents - Agent Studio pairs no-code agent building with sandbox testing, evaluations, observability, and human approval gates, making agent deployment auditable rather than a black box.
  • Real two-way sync with dev tools - Computer AirSync keeps GitHub and Jira data live in both directions, so engineers do not have to abandon their existing workflow to benefit from the platform.
  • Startup credits lower the entry barrier - up to $10,000 in time-bound credits lets early teams adopt the full platform under a consumption model instead of paying large fees upfront.

Cons

  • Opaque paid pricing - Pro and Max tiers are quoted only through sales contact, and the consumption-based credit model makes it harder to forecast monthly cost than a flat per-seat plan.
  • Consolidation requires commitment - the platform delivers its value when support, product, and CRM all live inside it, so partial adoption alongside incumbent help desk or issue trackers yields less benefit and migration is non-trivial.
  • Best fit is narrow - the customer-and-product graph is tuned for product-led software companies, so teams outside that mold may find the model less natural than a general-purpose help desk or CRM.

Use Cases

DevRev fits software companies that want their support desk and their product roadmap to inform each other instead of operating in separate tools.

  • Product-centric customer support: support teams resolve conversations and tickets with an AI bot, semantic search, and clustering that groups similar reports - while every ticket stays linked to the product part it concerns.
  • Closing the customer-to-engineering loop: enhancements and bugs surfaced in support flow directly to builders, who see them alongside GitHub and Jira work and prioritize by real customer impact.
  • Deploying AI agents safely: ops and CX teams use Agent Studio to build agents for ticket deflection, IT ticket resolution, or escalation handling, with sandbox testing and approval gates before production.
  • Unifying scattered systems: teams replace a patchwork of help desk, issue tracker, and CRM tools with one knowledge graph and a shared memory layer.
  • Automating repetitive workflows: the serverless workflow engine and snap-in marketplace handle ticket assignment, status updates, and reporting so people focus on higher-value work.

Pricing

DevRev's current platform (Computer by DevRev) uses a consumption-based credit model rather than charging strictly per seat. Three tiers are presented:

  • Mini (Free): positioned around "Search. Act. Automate." - includes the conversational interface, search, basic task automation, one-click connectors, and bronze-level support.
  • Pro (Contact sales): builds on Mini with a connectors marketplace (100+ integrations), conversational analytics, Agent Studio, silver-level support, and discounted credits.
  • Max (Contact sales): adds an embedded Applied AI team, fine-tuned analytics, enterprise security with SCIM, near real-time data sync, and gold-level support.

Paid Pro and Max pricing is not published and requires contacting DevRev's sales team for a custom quote. Some third-party sources also reference legacy per-user plans (for example Build and Support tiers with Starter and Pro levels), but the company's own current pricing centers on the free Mini tier plus credit-based Pro and Max plans. Startups accepted into DevRev's program can receive up to $10,000 in platform credits over twelve months to offset this usage. Always confirm current figures with DevRev directly, as pricing for AI products is evolving.

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