Your product team, on retainer.

    Ship SaaS and AI systems without hiring a whole department. Monthly pods from $2.5k.

    No AI needed? Fine. We still ship your product.

    $2.5k/mo Starter
    $10k/mo Operate
    $25k+/mo Partner
    Build your pod
    • Product & SaaS delivery
    • AI when it earns its place
    • Pods from $2.5k/mo
    Product & SaaS buildAI agents & automationIntegrations & cloudOngoing product engineering

    Explore

    Services, comparisons, and guides for teams evaluating a product pod.

    SaaS product development

    Product team on retainer for SaaS and platforms

    AI agent development

    Agents, RAG, and production hardening

    Product team retainer

    Dedicated engineering pod pricing and fit

    AI tools vs pod

    Compare DIY tools to a monthly pod

    Plan Review guide

    Our plan-before-code methodology

    Selected work

    Real delivery proof from our portfolio. Product, data, legal AI, and compliance systems.

    View all work →
    ProductAI agentsSaaS

    Agentive

    Agentic GTM / revenue orchestration

    Early-stage B2B GTM / revenue SaaS (paid pilots)

    ICP, outreach, pipeline, and account engagement lived in disconnected tools. Handoffs were manual and deals went quiet.

    View case study →
    ProductData/AIPublic interest

    Redo.io

    Criminal justice data analytics

    Legal / justice reform analytics (public defenders, researchers, journalists)

    100k+justice records indexed

    A hard-coded schema chatbot broke on 100k+ CDCR records and compound queries. Experts needed a workspace, not a chat toy.

    View case study →
    ComplianceRAGAzureProduct

    Sannos / Evolve

    RAG compliance automation (CSRD, DORA, ESG)

    GRC / compliance / ESG

    40 min → under 1 minmin per document

    The intern pipeline was not real RAG (~40 min/doc), sequential, and untrustworthy. Everything had to stay inside locked-down Azure.

    View case study →
    Legal AIPrivate/on-deviceProduct

    LegalAI

    Private on-device legal document intelligence

    Legal professionals / solicitors; confidential document review

    A dual trust problem: fully private (no cloud or telemetry) and zero invented or missed clauses across many document types. Cloud AI is unsuitable for confidential legal review.

    View case study →
    Legal AICitation RAGProduct

    TrustDesk AI

    Citation-first litigation intelligence

    Litigation-tech / law firms

    Firms only trust AI they can defend. The product must refuse rather than guess, run with private inference, and keep a full audit log.

    View case study →

    In production across GTM platforms, justice data, compliance RAG, and legal AI.

    Delivery methodology

    Plan Review, not PR-only review

    We review the plan before we burn sprint capacity. Not pull-request theater.

    How we work
    1

    Problem

    Lock the real problem and success criteria

    2

    Plan Review

    Review approach, architecture, risks, and test plan before heavy build

    3

    Approve

    Client and studio go-ahead on the plan

    4

    Code & Logic Control

    Build with review of code and business logic, not only diffs

    AI-native delivery

    Cursor, Claude Code, Grok Bot, and similar tools paired with eval harnesses and senior review. AI accelerates coding after the plan is approved.

    CursorClaude CodeGrok BotEval harnessesSenior review

    Plan Review guide · How we work

    Quick answers

    Full guarantees and process →

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