Worthify emblem

Don't Just Verify. Worthify.

AI-fluent engineers who build applications, AI-powered capabilities, and automation for government programs, with inspectable artifacts a reviewer can check.

Review Capabilities
Worthify service areas03
01

Technical Staffing

AI-fluent engineers who join secure government program teams and contribute to model, software, data, and automation work.

02

Workflow Automation

Data pipelines, dashboards, scripts, and automation for manual or fragmented workflows.

03

Technical Analysis

Reverse-engineering support, system evaluation, model-behavior review, documentation, and implementation planning.

Government Services

Service areas

Engineering capacity for government programs that cannot give up control of requirements, data, security, or delivery evidence. The work spans technical staff, software, data workflows, infrastructure, and technical analysis.

01

Technical Workforce Support

Embed engineers who can support software, evaluation, automation, documentation, and technical workflows inside existing teams.

View service detail
02

Government Software and Data Systems

Build secure applications, data pipelines, integrations, and automation around agency requirements, APIs, cloud boundaries, testing, and configuration baselines.

View service detail
03

Cyber, Systems, and Analysis

Support cloud, network, monitoring, reverse engineering, protocol review, and system assessment work where controls, evidence, and operational limits matter.

View service detail

Engagement Models

Engagement and teaming models.

Worthify supports on-site staff augmentation, AI/ML and software engineering, rapid capability prototyping, and teaming and proposal support across government programs.

How an engagement runs

Scope → Handoff
  1. 01

    Scope

    Program need, data, and constraints defined up front.

  2. 02

    Prototype

    A working capability stood up on a short timeline.

  3. 03

    Review

    Output checked against evidence a reviewer can inspect.

  4. 04

    Handoff

    Tests, assumptions, and next steps documented.

01

On-Site Staff Augmentation

AI-fluent engineers embedded on-site or with a prime team for model, software, data, automation, or analysis work.

02

AI / ML Engineering

AI capability support: agentic workflows, automation, retrieval, and model evaluation built into existing program tools, with reviewable output.

03

Software & Systems Engineering

Secure application, data-pipeline, integration, and automation engineering scoped to requirements, tests, and configuration baselines.

04

Rapid Capability Prototyping

Quick-turn prototypes and working demonstrators that prove a capability before a program commits to full-scale delivery.

05

Teaming & Proposal Support

Capture support, capability mapping, staffing and data-call responses, and teaming with government-services primes, with partner details kept sanitized.

Deliverables

Each engagement ends in a defined technical deliverable.

  • On-site or embedded technical staff
  • AI/ML feature, agent, or automation with reviewable output
  • Secure application, integration, or data pipeline
  • Working prototype or capability demonstrator
  • Teaming, capture, and proposal-support artifacts
  • Handoff package with assumptions, tests, constraints, and next steps

Government Procurement

Registered and ready to contract.

Worthify Inc. is an active, SAM.gov-registered business. The entity and registration details a contracting officer, prime, or teaming partner needs are below.

Procurement details
Legal entity
Worthify Inc.
UEI
C73SKFSLN8A9
CAGE
11NJ7
Worthify ReAgent emblem

A Worthify Product

ReAgent

ReAgent is a software environment for reverse engineering work that keeps binary artifacts, decompiled output, notes, and AI assistance in one review path. It is one of the products Worthify builds out of its services work, not the whole company. It supports local model execution for on-premises, cloud-connected, or disconnected environments when the program requires that boundary.

Keep evidence near the code

ReAgent keeps disassembly, decompilation, strings, symbols, notes, and runtime observations close to the artifact under review.

Run in constrained environments

ReAgent supports local model execution across on-premises, cloud-connected, and disconnected environments when the program requires that boundary.

Use AI as an assistant, not an authority

Model output stays tied to code units, observations, and repeatable review steps so a person can check the result.

Request ReAgent technical access
ReAgent Home
OverviewAuto analysisAgentic ChatListingFunctionsStringsDataSearch
FunctionNavigateAIBatch
FN NAV
BINWFY_CTF1.exeFUNCallocate_and_initialize_string_array
ADDRESSMNEMONICOPERANDS
14000126bMOVRBP, RAX
14000126eTESTEBX, EBX
140001270JLE0xlabel_9
140001276SUBRDI, 0x8
14000127aXOREBX, EBX
140001280MOVRCX, qword ptr [R12 + RBX*0x1]
140001284CALL0x140002738
140001289LEARSI, [RAX + 0x1]
14000128dMOVRCX, RSI
140001290CALL0x140002838
140001295MOVR8, RSI
140001298MOVqword ptr [RBP + RBX*0x1], RAX
DecompiledInspector
XREF NAV
Editable C-like output
1ulonglong FUN_140001180(
2    undefined *param_1, undefined *param_2,
3    undefined8 param_3, undefined8 param_4) {
4  int       iVar1;
5  longlong  lVar2;
6  size_t    sVar7;
7  void     *_Dst;
8  ulonglong uVar9;
9
10  puVar11 = PTR_DAT_140004480;
11  lVar2   = *(longlong *)(unaff_GS_OFFSET);
12  while (true) {
13    LOCK();
14    lVar13 = *(longlong *)puVar11;
15    if (lVar13 == 0) {
16      *(longlong *)puVar11 = lVar2;
17      lVar13 = 0;
18    }
19  }
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FUN_140001180 · 0x140001180Live

Security and Privacy

Customer security teams keep control of deployment, model placement, and data boundaries.

Security notes

Customer security boundary

Customer-controlled
Air-gapped
On-premises
Customer cloud

Customer-managed model placement

ReAgentHuman reviewTraceability

Deployment boundaries

ReAgent supports air-gapped, on-premises, and customer-managed cloud deployment patterns when the customer security team defines that boundary.

Customer-managed model placement

The customer-managed model placement approach keeps selected language models and compute infrastructure inside the customer deployment boundary. Models and compute are provided by the customer.

Human review and traceability

The human review path stays tied to artifacts, code units, logs, and analyst context so a person can review the path before using the result.

Controlled storage

Secure storage can include binary samples, analysis artifacts, notes, generated documentation, and workflow context inside the selected environment.

Operating Method

AI adoption should strengthen the team and keep the work trustworthy.

Government teams need AI adoption that survives security review, procurement constraints, data boundaries, and daily operations.

Worthify helps with staffing and delivery: engineers who understand models, software, cyber, data, and evidence and can strengthen an existing team.

  1. 01

    Program work

    Support real government technical workflows.

  2. 02

    Operational learning

    Learn what analysts and program teams actually need.

  3. 03

    Repeatable capability

    Turn that experience into software like ReAgent.

Capability feeds the next engagement