Objectbright AICPA SOC for Service Organizations

Applied intelligence for the enterprise

Deploy AI on your terms — commercial, open, or fully local.

Objectbright now builds enterprise AI systems. We put commercial platforms, open-source LLMs, and private local models to work inside the applications you already run — with the controls regulated industries expect.

See the work we take on

Serving financial, insurance, biotech, and pharmaceutical organizations since 2012. Fortune 500 and Fortune 100 experience. References available.

Trusted by regulated teams in finance, insurance, biotech, and pharma

Capabilities

Systems built to survive production

Choosing commercial, open, or local is the first decision. What follows is the work that makes AI usable inside the applications and controls your organization already runs.

  • Private knowledge systems

    Search and assistants over policies, filings, and internal records — scoped to the people who should see them.

  • Agents on your APIs

    Workflows that call CRM, ERP, and internal services with guardrails — not open-ended chat in a side window.

  • Governance and audit

    Logging, access control, and review trails so compliance and security teams can sign off with evidence.

  • Evaluation benches

    Test sets and scoring on your data so quality holds when vendors, weights, or prompts change.

  • Inference architecture

    Routing, caching, and cost control sized for real traffic — not a demo that falls over at quarter-end volume.

  • Team enablement

    Runbooks, training, and handoff so your ops team can run the system without us on every release.

Approach

A working session, then a system

We start with the job, the data, and the constraints that would make a public API the wrong answer.

  1. 01

    Map the work

    Tasks, records, people, and rules — written down before anyone provisions a GPU.

  2. 02

    Choose the path

    Commercial, open, local, or hybrid. Each workload gets a reason and an exit.

  3. 03

    Stand it up

    Install, integrate, and secure so the system is usable on day one.

  4. 04

    Keep it honest

    Evaluation, cost, logs, and a runbook. The standard does not move with the model.

Built for rooms where “just use the API” is not an answer

  • Financial services

    Assistants over procedures and files, with residency and access that match the bank.

  • Insurance

    Intake, policy lookup, and claims drafts that leave a trail a reviewer can follow.

  • Biotech

    Local models for lab notes and literature that cannot leave a public prompt box.

  • Pharmaceuticals

    Commercial where it is allowed, private where it is not.

Clients

Organizations that already run this kind of work

Selected teams across financial services, insurance, biotech, and pharmaceuticals. References available on request.

Free consultation

Tell us what has to stay inside the building

Bring the workload, the data constraint, and the timeline. We will say whether commercial AI, an open-source program, or a local install is the honest path.

Call

877-602-0501

Questions? Start with a call, or send the form and we will follow up.