Generative AI Development built for B2B SaaS companies

What is Generative AI Development?

We turn generative AI from a flashy demo into a feature your customers depend on. For B2B SaaS companies, this means navigating SOC 2, ISO 27001 while shipping fast.

Who needs Generative AI Development for B2B SaaS?

  • Multi-tenant architecture and data isolation
  • Enterprise security and compliance expectations
  • Complex permission and role hierarchies
  • Generative AI demos that impress but never ship
  • Hallucinations undermining user trust in AI features

Best Generative AI Development company

B2B buyers expect enterprise-grade reliability, security and integrations from day one, not after Series B.

Our engineers have shipped Generative AI Development for dozens of B2B SaaS companies, including teams across .

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The hidden risks of DIY Generative AI Development for B2B SaaS businesses

  • Multi-tenant architecture and data isolation
  • Enterprise security and compliance expectations
  • Complex permission and role hierarchies
  • Integration requirements from enterprise buyers
  • Scaling onboarding without ballooning support costs

Our process for delivering Generative AI Development to B2B SaaS clients

LLM application architecture and prompt engineering
Retrieval-augmented generation (RAG) pipeline
Output evaluation and guardrail framework
Cost monitoring and model routing setup
Fine-tuning pipeline for domain-specific tasks

Core Technology Stack

OpenAI APIAnthropic APILangChainLlamaIndexPineconePythonFastAPI

Timeline, investment & compliance

Typical timeline

6-14 weeks

Typical investment

$25,000 - $160,000

Generative AI Development engagements in this combination typically need to account for:

  • SOC 2
  • ISO 27001
  • GDPR
  • CCPA

Proven Results

"We helped a B2B SaaS platform pass SOC 2 audit readiness in 10 weeks while shipping new features in parallel."

Read the full case study

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Frequently Asked Questions

Most Generative AI Development engagements take 6-14 weeks, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.

Generative AI Development projects with us typically range from $20,000 - $160,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.

For generative ai development, we typically work with OpenAI API, Anthropic API, LangChain, LlamaIndex, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.

A typical generative ai development engagement includes llm application architecture and prompt engineering, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.

Most clients come to us for generative ai development because of generative ai demos that impress but never ship, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.

We've delivered multiple b2b saas projects addressing challenges like multi-tenant architecture and data isolation. We helped a B2B SaaS platform pass SOC 2 audit readiness in 10 weeks while shipping new features in parallel.

For b2b saas clients, we pay close attention to SOC 2, ISO 27001, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.

The most common challenges we solve for b2b saas clients include multi-tenant architecture and data isolation and enterprise security and compliance expectations. We tailor our discovery process to surface the specific version of these problems your business faces.

See how GarudLabs can deliver Generative AI Development for your team

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