Custom Tools & Applications in Bethesda, MD

Yes — and this is the integration question that most generic dev shops get wrong on the first try. NIH eRA Commons does not have a public real-time API in the conventional sense, so the integration pattern we use depends on the workflow. For grant-progress dashboards we typically work from the institution's exports out of eRA Commons (xTRACT data, RPPR submissions, Notice of Award PDFs) plus the institution's grants-management system — Workday Grants, Kuali, or a homegrown stack on top of Oracle. The tool reconciles effort percentages, no-cost extension status, and remaining direct/indirect balances, and surfaces the variances the lab manager would otherwise catch by hand. For RPPR-cycle tools, we wire reminder logic to the actual due-date pattern (annual, with the floating window NIH publishes per IC) and connect it to whatever calendar and document store the PI's office already uses. We do not pretend to be the system of record for federal reporting — eRA Commons is. The tool sits next to it and keeps the lab from finding out about a missed deadline three weeks late.

Depends on whether the dashboard touches identifiable patient data or stays in the deidentified or aggregate layer. For most clinical-research tools we build in Bethesda, the goal is to keep PHI out of the tool entirely — the source systems (REDCap, Medidata Rave, Veeva Vault Clinical, the institution's EHR) hold the identifiable data, and the tool consumes a deidentified or aggregated feed for things like enrollment pacing, vendor comparison, and protocol-deviation rates. When PHI does need to flow through the tool, we deploy on a HIPAA-eligible architecture — typically AWS with a signed BAA, private VPC, encrypted-at-rest storage, audit logging on every read, and access controls that mirror the institution's existing role structure. We also walk the build through the institution's IRB and InfoSec review before go-live. We are not the institution's HIPAA security officer and we will not pretend to be — the build is delivered with documentation written for that officer to review against the institution's risk-assessment process. If you are not sure which architecture fits your protocol, the audit answers that before any code is written.

Yes — and the way the integration is structured depends on whether the tool is the writer or the reader of the source-of-truth data. For Salesforce Health Cloud and standard Sales Cloud orgs we use the official REST and Bulk APIs with a dedicated integration user, scoped to the objects and fields the build actually touches. Salesforce Connected App auth, OAuth refresh tokens, no shared logins. For Veeva Vault we use the Vault API with the same scoped-permissions pattern — typical use cases are a clinical-trial vendor comparison reading from Vault Clinical, or a regulatory-tracker reading from Vault RIM. For corporate-ops clients with a Marriott-style enterprise data lake (Snowflake, Databricks, or a Synapse stack), the tool reads from a curated table or view that the enterprise data team owns, never from raw transactional systems — that is the same pattern the internal BI org would use, and it keeps the tool out of the dependency hell of upstream schema changes. Every integration we build ships with a runbook that documents which credentials, which scopes, and which contact in the enterprise data team owns the upstream contract.

The split comes down to workflow specificity and speed. An internal developer hire optimizes for long-term platform ownership — useful when the organization needs a recurring product development function. AI consulting services optimize for a defined workflow problem with a known endpoint: you need one tool, scoped to one process, built and handed off in weeks rather than quarters. For most Bethesda operators — a lab, a clinical-trial sponsor, a biotech BD team — the workflow problem is real but not so broad that it justifies an internal engineering headcount. The audit or Founder Review Call is designed to answer that question honestly before any contract is signed. If the answer is that an internal hire makes more sense for your situation, we will say so.

A 2–4 week custom-tool engagement in Bethesda runs as a fixed-price build scoped from the audit or the Founder Review Call output. Pricing depends on the integration count and the regulatory texture — a single-source-of-data internal calculator is on the lower end; a HIPAA-eligible clinical-research dashboard with three integrations and an IRB-review handoff sits higher. We quote the number after the audit, not before, because quoting a build cost without seeing the data and the systems is the part of consulting that wastes everyone's money. On scope creep: the fixed-price contract names exactly one workflow, one user type, and one measurable outcome. If a new feature request comes up mid-build — and it almost always does, especially when a PI or BD lead sees the prototype in week one — we log it, we do not silently absorb it, and we either roll it into a phase-two scope after launch or formally amend the current contract with a clear added cost. The reason fixed-price builds work in Bethesda is the same reason they work for litigation matters: clear scope is the only thing that keeps engineering and leadership pulling in the same direction.