Gigacatalyst
Gigacatalyst is an embedded AI builder for B2B SaaS vendors. Customers describe a dashboard, report or workflow in plain words, and the finished app runs inside the vendor's product, governed by its own APIs, rules and permissions.
What is Gigacatalyst?
Gigacatalyst is the product of Giga Next Inc., a Y Combinator-backed company offering B2B SaaS vendors a way to answer customer feature requests without adding each one to the engineering roadmap. The vendor embeds an AI builder inside its own product; the end customer describes the dashboard, report or workflow they need in their own words, and the finished application appears within the product, under the vendor's branding.
What separates it from a general-purpose AI app builder is governance. Every app is bound to a governed app contract: it may call only operations the vendor has approved, it inherits the permissions of the signed-in customer instead of maintaining a second permission model, and its figures are checked against what the vendor's API actually returned. The builder rejects generated code containing invented records, and an app whose API returns nothing says so rather than filling the screen. Each customer receives an isolated installation, and every API call names that installation before it runs.
Data can come from approved REST routes, typed GraphQL operations, Postgres and MySQL databases, or spreadsheet inputs from Excel, Google Sheets and CSV — the last of these turning multi-sheet workbook logic into a customer-facing app with approvals built in. Outputs range from live dashboards with filters and drill-downs to white-labelled PDF reports and operational workflows.
Setup runs through a coding agent the team already uses, such as Claude Code, Cursor, Codex or OpenCode. A setup prompt catalogues the APIs the vendor approves in a single pass, and no source code leaves the repository. Two deployment modes exist: Managed, where requests pass through a Gigacatalyst proxy and generation runs on AWS Bedrock under zero retention, and Direct, where calls go straight to the vendor's infrastructure, telemetry is disabled, and nothing routes through Gigacatalyst.
A second line, Gigamultiplier, is a go-to-market agent that identifies buyers, sends LinkedIn outreach from the user's own account and learns from replies, with human approval required before anything is sent. It can also be driven from Claude, Cursor, Codex or ChatGPT through a hosted MCP connector.
What it does
- Turn a customer's plain-language request into a working dashboard inside your product
- Generate reports and white-labelled PDFs styled with your customer's own branding
- Build action workflows with approvals and assignments, not just read-only views
- Convert multi-sheet spreadsheet logic into an app connected to your APIs
- Enforce the permissions of the signed-in customer automatically, with no second model to maintain
- Restrict which write operations and AI models an app may reach
- Find buyers and run approved LinkedIn outreach through the Gigamultiplier agent
When to use Gigacatalyst / When not to
A quick filter to help you decide if Gigacatalyst is the right fit.
When to use Gigacatalyst
- B2B SaaS vendors whose backlog of customer-specific feature requests outgrows what engineering can ship
- Product teams that need to satisfy individual accounts without widening the core roadmap
- Solutions engineering and presales teams building a configured demo per deal, which then becomes the POC
- Customer success teams replacing spreadsheet handoffs with dashboards and workflows connected to live product data
- Founders and lean sales teams looking to run LinkedIn outbound through the Gigamultiplier product line
When not to use Gigacatalyst
- Products without documented APIs or a usable read replica, since the whole catalogue step depends on them
- Consumer or end-user audiences: the offer targets software vendors, not the general public
- Buyers who require a SOC 2 report today, as the certification is described as being actively pursued rather than held
- European organisations needing explicit GDPR commitments or EU hosting, neither of which the site documents
- Teams wanting a published price for the embedded builder itself, which is only quoted through a sales conversation
How to use Gigacatalyst
A typical end-to-end flow, from setup to results.
- Open the repository of the product you want to extend, on your own machine
- Pick the coding agent your team already works with: Claude Code, Cursor, OpenCode or Codex
- Paste the setup prompt published on the site, which points the agent at the installation instructions
- Let the agent catalogue the API routes you approve, in one pass, without touching existing product code
- Confirm the account-creation step before anything is sent outside the repository, as the prompt instructs
- Collect your sign-in link once the workspace is ready and open it
- Choose a deployment mode: Managed through the Gigacatalyst proxy, or Direct straight to your infrastructure
- Apply your logo, typography, colour palette, spacing and navigation, and hide the Gigacatalyst branding
- Set the guardrails you want: write permissions, role-based access, and which AI models may be used
- Embed the builder so customers can describe what they need and get the app inside your product
Pros & Cons
Pros
- Governance is structural rather than promised: an app cannot return what your own API would not have returned
- No second permission model to keep in sync, which removes a whole class of drift and audit work
- Explicit anti-fabrication guardrail, with generated code containing invented records rejected outright
- Direct mode lets a cautious buyer keep every request off Gigacatalyst infrastructure entirely
- Sub-processors are named publicly with their purpose and country, and breaches are notified within 24 hours
- Customer code is never used for training, and prompts run under zero retention with AI providers
- Setup runs inside the coding agent already in use, with no source code leaving the repository
Cons
- No SOC 2 certification: the site describes it as actively pursued, not obtained
- The GDPR is never mentioned anywhere on the site, leaving European buyers to contract for it themselves
- All four named sub-processors sit in the United States, with no EU hosting option announced
- No postal address is published on any page, limiting company identification to the legal name alone
- The embedded builder has no public pricing; only the Gigamultiplier line shows a published grid
- Contact addresses are spread across three different domains, suggesting an unfinished rebranding
- The company is very young, with the domain registered in February 2026, and the interface is English only
Pricing & Plans
There is no permanent free plan. Creating a workspace requires no payment card, and the live trial runs for seven days at no cost, after which the Pro plan is billed at USD 75 per month against a published list price of USD 99 per month. Each additional user costs USD 25 per month, and the Enterprise tier is quoted on request. This published pricing applies to the Gigamultiplier outbound product only; the embedded builder is priced through a commercial conversation.
- outbound AI agent
- managed LinkedIn connections
- comments and messages within safe account limits
- up to 3
- 000 leads per month
- unified inbox
- AI-drafted replies and a 1:1 Slack channel
- everything in Pro
- plus tailored onboarding and support
- a unified multi-account inbox
- admin access and reporting
- and a dedicated account manager
- Additional user — USD 25 per month each
- on top of the Pro subscription
- Free trial — seven days at USD 0
- with a payment card required when the live trial starts
Data, GDPR & hosting
A consolidated view of how Gigacatalyst handles your data.
GDPR overview
There is no mention of the GDPR anywhere on the site. Checking every collected page, in rendered text and in the archived HTML alike, returns no occurrence of the regulation, of "General Data Protection Regulation", or of the CCPA. The privacy policy nonetheless grants rights that mirror it — access, correction, erasure, restriction or objection, portability and withdrawal of consent — but frames them conditionally, as rights you may have depending on your location, exercised by writing to the support address. No Article 27 EU representative is named and no data protection officer is designated. A DPA is not published but is signed on request. Breaches affecting customer data are notified in writing within 24 hours of discovery. Governing law is that of the United States, and the privacy policy was last updated on 19 August 2026.
Who owns the data?
The customer keeps everything that matters. The terms state that you retain all rights to your code and intellectual property, and that source code stays on your own machine wherever possible. Gigacatalyst says it never stores customer data, API responses, query results or end-user personal information from your platform. What it does hold is narrow: the source code of the apps generated, app metadata such as who created what and when, and usage logs that can be switched off. API keys you supply are encrypted at rest with AES-256, never surfaced in logs or responses, and deletable at any time. In Direct mode nothing passes through Gigacatalyst at all.
Reuse rights
Customers may reuse what they build without asking permission: the generated app source code is theirs to review, audit, run static analysis on, or take away, and the apps execute in their own environment. Gigacatalyst grants a non-exclusive, non-transferable, revocable licence to the service itself, so the platform is used rather than owned. On its own side the vendor limits itself to running and improving the service, authenticating accounts, billing, support and abuse detection. Code is explicitly never used to train or improve AI models and is not retained after processing. During a build the AI sees only schema structure and sample rows the team supplies deliberately; at runtime apps query live APIs. Prompts may reach Anthropic, OpenAI or Google depending on workspace configuration, and under bring-your-own-key that traffic falls under the customer's own contract with the provider.
Data retention & training
Hosting summary
The trust centre names four sub-processors and their location. Supabase stores app metadata, Vercel handles hosting and deployment, AWS Bedrock provides AI code generation as the default provider, and PostHog supplies product analytics that can be disabled — all four in the United States. No European region or alternative jurisdiction is offered. The important nuance is that generated applications run in the customer's own environment rather than on Gigacatalyst infrastructure, and in Direct mode API calls go straight to the customer's systems with telemetry disabled and nothing routing through the vendor. Infrastructure is described as sitting on SOC 2-compliant cloud providers, although Gigacatalyst itself does not hold that certification. Data is encrypted in transit with TLS 1.2 or higher, and sensitive material such as API keys is encrypted at rest with AES-256. Governing law is that of the United States.
Things to keep in mind
Risks and trade-offs to weigh before adopting Gigacatalyst.
- Letting customers generate their own apps can quietly multiply the surfaces your team must maintain and review
- Managed mode routes requests through a third-party proxy by default; keeping data off it requires deliberately choosing Direct
- Generated code is auditable but somebody still has to read it, and convenience makes skipping that review tempting
- A confident-looking dashboard invites trust in its numbers, so the verification of metrics against API results matters more than it appears
- Delegating setup to a coding agent inside your own repository deserves the confirmation step the vendor's own prompt insists on
- The absence of any GDPR statement puts the compliance burden entirely on the buyer's legal team
- Relying on a company under a year old for a customer-facing surface carries an obvious continuity risk
Setup & Integrations
Technical difficulty
Moderate, and firmly an engineering task. You need API endpoints or a read replica, and optionally an AI provider key; there is no access to your wider stack or source code. Setup is driven by a prompt run through a coding agent such as Claude Code or Cursor, which catalogues your approved routes in one pass without modifying existing product code. One customer reports integrating in a week. The heavy lifting is automated, but deciding which routes to approve, wiring the embed and connecting your auth provider still require someone who knows the product's architecture.
Deployment
Integrations
Supported languages
Behind Gigacatalyst
Fundraising
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Gigacatalyst.
Frequently asked questions
Can an app show numbers that are not really there?
How is one customer's data kept separate from another's?
Does it respect our existing permissions?
What happens when we change our API?
What do we actually have to build ourselves?
Does Gigacatalyst hold a SOC 2 certification?
Will you sign a Data Processing Agreement?
Where is our data hosted?
Is the GDPR addressed anywhere?
What does it cost?
Should you pick Gigacatalyst?
Gigacatalyst answers a real and well-identified problem: the queue of customer-specific dashboard and workflow requests that a B2B SaaS roadmap never reaches. Its distinguishing argument is not the AI generation itself, which is now commonplace, but the governance wrapped around it. Apps call only approved operations, inherit the permissions of the signed-in customer, and have their figures checked against what the API actually returned. For a vendor whose worry is a generated app quietly leaking or inventing data, that framing is the right one.
The trust centre is unusually detailed for a company this young: sub-processors named with their purpose and country, two deployment modes including one where nothing routes through Gigacatalyst, a 24-hour breach notification commitment, and a categorical statement that customer code is never used for training.
The reservations are just as concrete. There is no SOC 2 certification, only a stated intention to obtain one. The GDPR is not mentioned anywhere on the site, and all four sub-processors sit in the United States, which will matter to European buyers. No postal address is published on any page, and contact addresses are scattered across three domains, which reads as an unfinished rebranding. The company is under a year old by every signal available.
Pricing is also only half public: the figures shown cover the Gigamultiplier outbound agent, while the embedded builder — the more substantial product — goes through a sales conversation. Teams with documented APIs, a working permission model and a genuine backlog of customer requests are the natural audience. Organisations bound by formal certification or EU data residency requirements should wait, or contract carefully.
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