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Ship the features
your customers pay for

We help SaaS companies add AI assistants and agents to their product, rebuild revenue-critical systems such as billing, and turn broad ideas into focused MVPs. Your team keeps the roadmap, and we add the engineers.

Published case studies
8
To qualify a new inbound lead
<1 Min
To answer support questions from your docs
Seconds
Service lines behind this work
3 of 5

What we build

What we build
for SaaS

Each area is backed by work we've shipped. Start with the one you need now and add others as you grow.

  • 01

    AI product features

    Assistants, search and agents inside your product, connected to your own data and documentation.

    • RAG assistants
    • AI agents
    • In-product search
  • 02

    AI quality and cost tracking

    Monitoring that shows how your AI performs, where users struggle and what each feature costs, plus routing that sends each task to the right model.

    • AI monitoring
    • Model routing
    • Cost per feature
  • 03

    Billing and subscriptions

    Separate services for plans, payments, invoices, entitlements and notifications that recover cleanly when a payment fails.

    • Subscription billing
    • Entitlements
    • Payment recovery
  • 04

    Support and sales assistants

    Assistants that answer from help docs, troubleshooting guides and known issues, and agents that reply to inbound leads, qualify them and update the CRM.

    • Support assistants
    • Lead qualification
    • Sales enablement
  • 05

    Product design and MVPs

    User roles, journeys, prototypes and a design system agreed before code, so the first release stays small and focused.

    • MVP scoping
    • Prototypes
    • Design systems
  • 06

    Commerce and compliance features

    Live pricing, automated VAT and export paperwork, and digital certificates, as in the online bullion store we built for Swarnna Taj.

    • Live pricing
    • VAT automation
    • Digital certificates

Our approach

Where SaaS teams
lose time and money

  1. The usual way

    AI features launch quickly, then nobody can tell whether the answers are right or what each one costs.

    How we do it

    We track quality and cost for each feature from launch, and send each task to the model that suits it, so spend matches the value a feature brings.

  2. The usual way

    Billing logic is tangled into the main app, so one failed payment can break plans and access.

    How we do it

    Separate services handle plans, payments, invoices, entitlements and notifications, and each one recovers on its own when something fails.

  3. The usual way

    A big product idea turns into a big first release that takes too long to learn from.

    How we do it

    We define user roles, core journeys and MVP priorities, then test interactive prototypes before development starts.

Results

Proof from real
SaaS projects

8 published case studies. Every figure on this page comes from one of them.

  • SaaS
    Lead response
    24/7
    To qualify a lead
    <1 Min

    Inbound sales: Leads qualified in under a minute, day or night

    We built an AI sales agent for a B2B company that replies to inbound leads, works out what they need and qualifies the opportunity. It updates the CRM, prepares follow-ups and passes high-value prospects to the sales team.

  • SaaS
    Connected knowledge hub
    1
    To get an answer
    Seconds

    Customer support: Faster answers from one AI assistant

    We built a generative AI support assistant that searches product documentation, troubleshooting guides, known issues and internal notes. Support agents answer customers faster, without switching between knowledge sources.

  • SaaS
    Connected workflow
    One
    Day-to-day visibility
    Live

    Subscription billing: Fragile billing code rebuilt as reliable services

    We redesigned a SaaS company's subscription and billing workflows as separate services for plans, payments, invoices, entitlements and notifications. Processes that affect revenue are now easier to manage and to recover when something fails.

More SaaS work

  • SaaSAI & Automation

    AI model costs: Each task matched to the right model

    We helped a growing AI product cut unnecessary model spend and respond faster. Each task now goes to the model that suits it, repeated work is reduced, and cost is tracked by feature and workflow.

    AI availability
    24/7
    Day-to-day visibility
    Live
  • SaaSAI & Automation

    AI product quality: Clear monitoring of how the AI performs

    We built an AI monitoring layer for a growing SaaS product. The team can now see how the AI is really performing, where users struggle and which responses or workflows need work.

    AI availability
    24/7
    Day-to-day visibility
    Live
  • SaaSAI & Automation

    Sales preparation: An AI assistant that finds the right sales content

    We built a generative AI sales assistant that searches case studies, service information, product documentation, pricing guidance and approved proposal content. It helps the team turn the right material into relevant sales documents faster.

    Connected knowledge hub
    1
    To get an answer
    Seconds
  • SaaSDesign & Strategy

    B2B SaaS design: A broad product idea shaped into a focused MVP

    We helped a B2B founder turn a broad product concept into a focused SaaS MVP. Before development started, we defined user roles, core journeys, MVP priorities and navigation, and built interactive prototypes and a reusable design system.

    Connected experience
    One
    Business visibility
    Live
  • SaaSSaaS & Software

    Swarnna Taj: A bullion store with live gold pricing

    We built an online bullion store for Swarnna Taj, a Dubai boutique going global. Prices sync live with gold markets, VAT and export paperwork are automated, and each purchase comes with a digital certificate.

    Compliance audit
    100%
    Gold-linked pricing
    Live

Trust and control

Built for the rules
you work under

  • Customer data kept separate

    Each customer's data, users and settings stay isolated, including inside AI search and prompts.

  • AI you can measure

    Quality, speed and cost are tracked per feature, so you know what to improve and what to switch off.

  • Billing that recovers

    Retries, duplicate-safe payments and clear failure states keep billing and access correct when a payment or a service fails.

  • Ready for security reviews

    Access controls, audit logs and documented practices give you SOC 2-ready controls and clear answers for enterprise security questionnaires.

Systems and standards

We build around the systems you already run. Standards are ones we design for; certification stays between you and your auditor.

Systems we connect to
  • Payment providers
  • CRM
  • Help desk
  • Product analytics
  • LLM providers
Standards we design for
  • SOC 2
  • GDPR
  • Multi-tenancy

Partnership models

Choose how we
work together

Pick the support that fits your team today, whether you need ongoing capacity or one clearly defined project.

How every squad works

  1. 01

    Clear communication

    We report risks as quickly as wins. You can talk to the engineers directly and see the project tools and progress at any time.

  2. 02

    Real accountability

    We own the work, explain problems plainly and stay involved until the agreed result is delivered.

  3. 03

    Speed as a habit

    We release the smallest useful version, learn from how people use it and improve it without lowering the quality bar.

FAQ

Straight
answers

Have a different question? Ask it on a 30-minute call.

Book a call

We add assistants, search and agents to your existing product and connect them to its data and documentation. Each customer's data stays separate inside AI search and prompts, and monitoring shows quality and cost from launch. Our support assistant, for example, answers questions from product docs and known issues in seconds.

Tell us what you're building

We'll suggest the right team and a rough quote range. An NDA is available before you share anything sensitive.