Software that acts like a teammate.
An AI operating system for SaaS companies — copilots, insights, and automation built into the product itself.
SaaS products either become the operating system their users live inside, or get replaced by whichever competitor does. We build that layer on a real multi-tenant foundation: in-product AI assistants trained on your product and docs, AI-driven insights that turn platform data into actions users take, and workflow automation running inside the product instead of a spreadsheet beside it. Shipped and running in production SaaS platforms today, not a concept deck.
Part of
SaaS & B2B Platforms is one vertical view of a single system. The layer underneath — retrieval, scoped permissions, evaluation, and the audit trail — is the same one we build in every sector.
Where AI earns its keep.
The workflows in saas & b2b platforms where AI does real work today — not a someday roadmap, the jobs it can take off your plate now.
In-product AI assistants
Copilots and knowledge assistants trained on your product and docs — onboarding, support, and power-user workflows.
AI-driven insights
Turning platform data into recommendations users act on — proactive, contextual, and measurable.
Multi-tenant foundations
Tenant isolation, RBAC, usage metering, and subscription billing engineered for scale from day one.
Workflow automation
Approvals, notifications, and document flows automated inside the product — less clicking, more outcomes.
Don’t take our word. Take the call.
2 of the agents above, live in your browser right now. Pick the job you actually need covered, press call, and talk to it the way your customers would — objections included.
A real agent, not a screenshot. Give it something to work on and watch what it does — including what it refuses to guess at.
Live agents on fictional businesses and invented records. Nothing you say or paste here is recorded or stored — it lives in this tab and dies with it. A production deployment runs on your data, your systems, and your policy.
A support ticket, from question to resolved
Not a feature list — the mechanism, step by step, from trigger to logged outcome.
Ground
The question is answered against your product docs, changelog, and the specific account's plan and usage — not the model's general knowledge of 'how SaaS products usually work.'
Resolve or route
Above a set confidence threshold, the assistant answers inline. Below it — or on anything that touches billing, permissions, or account state — it escalates to a human with the full context already attached, never a silent guess.
Respect the tenant boundary
Every answer is scoped to the requesting account's own data and role — RBAC and tenant isolation apply to the assistant exactly as they apply to the rest of the product, not as an afterthought bolted on.
Feed the eval set
Resolutions and escalations both log to a reviewed eval set, so the assistant's accuracy is a measured, tracked number — not a claim.
Work in saas & b2b platforms.
Gigbase — Multi-Tenant Agency Operating System
A multi-user agency management portal: projects, teams, clients, contracts, invoicing, real-time chat, meeting scheduling, and an admin-trained AI knowledge assistant — one subscription-based workspace.
Inflectiv Helios — Multi-Assistant AI Platform
A multi-user AI assistant platform: specialized assistants per knowledge domain, conversational UI with history and personalization, Google Calendar/Meet integration, and full prompt observability — built to absorb new AI capabilities.
Haystack — AI Data Intelligence Platform
A data-driven intelligence platform: one AI search layer across documents, data lakes, and repositories, with real-time indexing, AI-driven correlation, and workflow automation — built to hold up under heavy data loads.
Beyond AIO — AI Business Management & Analytics Platform
An all-in-one AI-powered business platform: predictive analytics, competitor analysis, CRM, HRM, financial management, task management, and cross-channel marketing with real-time campaign optimization.
Disclosure — founder-owned venture
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement you can open and read.
Tell us which part of saas & b2b platforms is the bottleneck.
Built for the rules of your industry.
Services that fit this industry.
What it plugs into.
An AI operating system only earns that name if it runs inside the systems you already have — not beside them.
Asked before the contract, not after.
Not if it's grounded correctly — the assistant answers from your docs, changelog, and the account's own plan and usage, not from the model's general sense of how SaaS products work. Anything below a set confidence threshold routes to a human with the context attached rather than guessing, and every resolution logs to an eval set so accuracy is measured, not assumed.
Yes — that's a hard requirement, not a nice-to-have. The assistant runs inside the same RBAC and tenant-isolation boundaries as the rest of your product, so an answer for one account can't leak context from another.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.