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    Applied AI & Automation

    Put AI to work where it matters

    We design, build, and run production-grade NLP, Document AI / Computer Vision, and agentic automations that plug into your data platform, workflows, and governance—so decisions get faster, cheaper, and more explainable.

    Intelligent

    NLP + CV + Rules

    Explainable

    Versioned & auditable

    Scalable

    TB-scale ready

    Book a Discovery CallRequest Solution Plan
    NLP/RAG
    Document AI
    Automation
    The Problem

    Problems we solve

    Knowledge locked in documents

    Slow, manual retrieval and review of critical information

    Rules buried in code

    Brittle logic, no audit trail, hard to evolve

    AI that can't scale

    Traffic spikes, TB-scale search, multi-stakeholder access needs

    Opaque outcomes

    Unversioned prompts/rules, low trust, difficult handoffs

    What We Ship

    Core capabilities

    Enterprise NLP & Retrieval (RAG)

    • Search/chat over technical, legal, operational, and clinical corpora
    • Entity & taxonomy extraction; multilingual support
    • Hybrid retrieval (vector + full-text) for both speed and recall
    • Guardrails, evaluation sets, and versioned prompt libraries

    Document AI / Computer Vision

    • High-volume OCR pipelines; classification & content extraction
    • Human-in-the-loop review consoles and QA workflows
    • Export to BI/warehouse; lineage of extracted fields for audit

    Decisioning & Rule Automation

    • Low/no-code rule packs with versioning and audit logs
    • Real-time and batch execution (via APIs, SQL, Spark)
    • Ideal for underwriting, scoring, eligibility, pricing, and triage

    Segmentation, Scoring & Targeting

    • Audience/segment builders (recency/frequency), geo targeting, look-alikes
    • Feature stores & scoring endpoints for downstream apps and campaigns
    • Supports very large active-user bases where required

    Ops-ready Evaluation & Guardrails

    • Offline eval sets; bias/toxicity checks; red-team prompts
    • Change control for models, prompts, and rules
    • Alerts into Slack/Teams/Jira; dashboards for precision/recall, latency, and drift
    How It Works

    Architecture flow

    1

    Ingest & index

    Documents/media/tables with data contracts and lineage

    2

    Extract & normalize

    Via OCR/CV and parsers; map entities/taxonomies

    3

    Retrieve & reason

    Using hybrid search and LLM orchestration with guardrails

    4

    Decide & act

    Via rules/score services, queues, and workflow automations

    5

    Expose & observe

    Governed APIs, dashboards, and alerts with SLOs

    Success Metrics

    KPIs we target

    Time-to-answer

    Retrieval latency ↓

    Straight-through processing

    Fewer manual touches ↑

    Reviewer minutes per case

    Faster reviews ↓

    Decision explainability

    Versioned rules/prompts + logs ↑

    Incident MTTR

    Faster recovery ↓

    Precision/recall

    Tracked and improving ↑

    FAQs

    Common questions

    Ready to get started?

    Put AI to work—safely and at scale

    Let's design NLP, Document AI, and automation systems that deliver explainable, reliable results

    Book a Discovery CallRequest Solution Plan