AI Development built for B2B SaaS companies
What is AI Development?
We design and ship production AI systems, not just proof-of-concept demos. For B2B SaaS companies, this means navigating SOC 2, ISO 27001 while shipping fast.
Who needs AI Development for B2B SaaS?
- Multi-tenant architecture and data isolation
- Enterprise security and compliance expectations
- Complex permission and role hierarchies
- AI pilots that never reach production
- Lack of in-house ML engineering talent
Best AI Development company
B2B buyers expect enterprise-grade reliability, security and integrations from day one, not after Series B.
GarudLabs partners with B2B SaaS teams to deliver AI Development that ships on schedule.
Start your AI Development project with a team that knows B2B SaaS
Book a free 30-minute discovery callWhy B2B SaaS companies struggle with AI Development
- 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
What makes our AI Development different for B2B SaaS businesses
Custom LLM application development
RAG pipeline implementation
Model fine-tuning and evaluation framework
AI infrastructure and MLOps setup
Production monitoring and cost-optimization dashboard
Core Technology Stack
PythonPyTorchLangChainOpenAI APIAnthropic APIPineconeFastAPIKubernetes
Timeline, investment & compliance
Typical timeline
6-14 weeks for first deployable AI feature
Typical investment
$25,000 - $180,000
AI Development engagements in this combination typically need to account for:
- SOC 2
- ISO 27001
- GDPR
- CCPA
Our Approach
We approach B2B SaaS builds around the constraint that matters most: multi-tenant architecture and data isolation. Every engagement in this space gets SOC 2-aware data handling and compliance review before launch, not after.
See our case studiesStart your AI Development project with a team that knows B2B SaaS
Get a free project cost estimateFrequently Asked Questions
Most AI Development engagements take 6-14 weeks for first deployable AI feature, 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.
AI Development projects with us typically range from $20,000 - $180,000, 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 ai development, we typically work with Python, PyTorch, LangChain, OpenAI API, 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 ai development engagement includes custom llm application development, 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 ai development because of ai pilots that never reach production, 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.
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