Technology for public safety that can stand up to scrutiny.

Calynx turns complex public safety policy and research problems into working technical systems.

01
Secure data & evidence platforms
02
Applied AI & product delivery
03
Standards & certification

Current work

Flagship program SafePrint

Safety standards that can survive contact with real products.

SafePrint is a neutral, pre-competitive effort focused on practical 3D-printer safety standards, certification, and compliance infrastructure. Calynx leads implementation and systems architecture across the program’s technical trust boundaries.

  • 01
    Policy into architecture

    Translate public-safety goals into testable technical requirements and system boundaries.

  • 02
    OEM-realistic implementation

    Pressure-test assumptions across printers, slicers, firmware, services, and update models.

  • 03
    Privacy-preserving trust

    Design for signed authorization, local verification, auditability, and bounded data exposure.

Authorization path Reference architecture
Trusted non-profit registry

Issues the keys, not the printer vendor.

Private key Public key

Registry keys: private to the CPAM; public to the printer.

Slicer

Arranges the models.

CPAM

Certified Print Authorization Module

Runs with the slicer, locally or in the cloud. Two inputs in, only authorized g-code out.
Illustration of an enclosed desktop 3D printer
Printer

Verifies the signature and prints only if authorized.

Applied platform work Entity intelligence

Turn fragmented public records into reviewable intelligence.

Calynx builds secure, reviewable workflows that identify relevant matters across large public-record datasets, acquire underlying records, extract entities, and give experts a traceable path from source material to investigative leads.

Evidence rule

No opaque “bad actor” score. A lead stays tied to the underlying record, visible criteria, known gaps, and human review.

Evidence path Human-reviewed
  1. 01
    Discover matters

    Targeted public-record and legal-source queries.

  2. 02
    Acquire records

    Selected source documents with preserved provenance.

  3. 03
    Resolve entities

    Retailers, organizations, locations, aliases, and relationships.

  4. 04
    Review the lead

    Source excerpts, counter-signals, gaps, and exportable findings.

How we operate

We start with the real-world problem and stay involved through delivery. The people who shape the approach also help build and test the system.

  1. 01

    Start with the real problem

    Agree on what needs to change, who the work is for, and what success looks like.

    UNDERSTAND
  2. 02

    Be clear about who does what

    Decide who provides information, who makes decisions, and how the work will be checked.

    RESPONSIBILITY
  3. 03

    Make every step easy to follow

    Keep the sources, decisions, and open questions visible so experts can review the work.

    EVIDENCE
  4. 04

    Build something people can use

    Build with the people closest to the problem, test it in practice, and improve what works.

    DELIVERY
Capability ledger Senior-led delivery
S/A

Standards & system architecture

Technical requirements, trust boundaries, certification flows, and implementation choices.

E/D

Evidence & data infrastructure

Source acquisition, provenance, entity resolution, audit controls, APIs, and review state.

P/O

Product & operational delivery

Analyst workflows, partner-facing tools, prototypes, delivery plans, and production handoff.

AI/H

AI with human accountability

Machine-assisted extraction and analysis with visible sources, rules, gaps, and review gates.

Prior operating experience

Selected organizations

Experience across large-scale consumer technology, regulated financial services, and health care.

Company marks identify prior professional experience; no endorsement is implied.

Company

Calynx is a public benefit corporation working at the intersection of public safety, standards, applied AI, and product delivery.

Its operating experience spans large-scale consumer platforms, regulated financial services, and health care—bringing product, data, and systems perspectives to each engagement.

The company collaborates with government, academic, nonprofit, and industry partners to turn complex public-interest problems into durable technical infrastructure.

Calynx is led by Dave Goldberg, with deep product and technology experience across Meta, Capital One, and CVS Health.

04 / Start a conversation

Bring us the hard part.

We work with policy leaders, researchers, nonprofits, industry groups, technical teams, and companies operating in adjacent fields. In every engagement, evidence, governance, and implementation all matter.

hello@calynx.ai