AI evaluation · research · governance · engineering

Evidence that survives the handoff.

Test a system, strengthen a benchmark, answer a research question, implement governance, build technical infrastructure, or develop team capability through applied workshops and exercises.

Scope an engagement Who we work with
The thesis

Benchmarks produce scores. Red teams produce findings. Research produces papers. Policies produce obligations. The work matters when the evidence reaches the next person, system, control, or decision.

Most AI risk work stops too early.

An evaluation can be rigorous and still answer the wrong question. Research can be important and still fail to travel. A policy can assign responsibility without giving anyone the evidence needed to act.

Syntony works across the handoffs—from question to method, method to evidence, evidence to action, and action to the next test.

How we work

Four connected capabilities

Each can stand alone. Together they form a practical loop for understanding and improving AI systems.

  1. 01Evaluate

    Test models, agents, systems, and benchmarks under realistic and adversarial conditions.

  2. 02Research

    Build methods, datasets, experiments, and analysis around an open technical or policy question.

  3. 03Govern

    Translate evidence into owners, controls, review gates, escalation paths, and decisions.

  4. 04Build

    Engineer evaluation and research infrastructure, prototypes, data pipelines, and repeatable workflows.

Service catalog

Start with the work you need done

Every engagement is bounded by a question, an intended use, concrete outputs, and explicit limits.

01 · Evaluate

Benchmark Design & Evaluation

Design, audit, or strengthen an AI benchmark—from construct definition and item development through scoring, judge calibration, adversarial validation, reproducibility, and release governance.

Typical outputs
  • Construct and intended-use map
  • Item and rubric specification
  • Validation and gaming-risk report
  • Evaluation package and limitations
02 · Evaluate

Model, Agent & System Evaluation

Test a model, product, or AI-enabled workflow against defined performance, safety, security, reliability, and human-system criteria.

Typical outputs
  • Evaluation protocol and test suite
  • Replayable traces and evidence
  • Uncertainty and limitations analysis
  • Decision or release brief
03 · Evaluate

AI Red Teaming & Agent Security

Stress-test prompt injection, tool use, permissions, memory, delegation, data leakage, misuse, deceptive behavior, and autonomy boundaries.

Typical outputs
  • Threat model and abuse cases
  • Reproducible failure catalog
  • Mitigation and control map
  • Regression and remediation retest
04 · Research

Applied AI Research

Turn an emerging technical, social, policy, or organizational question into a bounded research program with a clear method and usable artifact.

Typical outputs
  • Research design and taxonomy
  • Dataset or evidence base
  • Analysis and expert review
  • Internal or publication-ready report
05 · Research

Strategic Risk & Foresight

Connect AI capabilities and failures to institutional, geopolitical, regulatory, market, and societal dynamics through systems analysis, scenarios, and decision triggers.

Typical outputs
  • Systems and risk model
  • Scenario set and signposts
  • Evidence-backed briefing
  • Decision triggers and research agenda
06 · Govern

Governance & Decision Support

Translate technical evidence, policy commitments, or research findings into named owners, operating controls, review gates, escalation rules, and decision records.

Typical outputs
  • Control and ownership architecture
  • Risk register and review gates
  • Escalation and decision records
  • Implementation roadmap

Customers retain legal, authorization, release, operational, and risk-acceptance decisions.

07 · Build

Evaluation Engineering & Prototyping

Build the technical layer needed to run research and evaluations repeatedly: harnesses, data pipelines, trace stores, scoring workflows, regression suites, dashboards, and prototypes.

Typical outputs
  • Working evaluation harness
  • Data and scoring pipeline
  • Reviewer-facing prototype
  • Tests, documentation, and handoff
08 · Evaluate + Govern

Continuous Evaluation & Assurance

Maintain versioned tests, evidence, accepted limitations, control status, and change reviews as models, data, integrations, and operating contexts evolve.

Typical outputs
  • Versioned regression packs
  • Evidence and change ledger
  • Drift and update reviews
  • Recurring decision packet
09 · Across capabilities

Training, Workshops & Facilitated Exercises

Custom sessions built around a live system, benchmark, risk question, or organizational decision. Technical teams, reviewers, operators, and leaders practice identifying failure modes, evaluating evidence, assigning controls, and escalating decisions.

Available as a standalone engagement or embedded within broader Syntony work. This is applied capability building—not a generic AI-awareness lecture.

Example formats and outputs
  • Executive tabletop and after-action report
  • Evaluation or red-team lab with reusable test cases
  • Benchmark design clinic and draft specification
  • Governance working session with control and ownership map
  • Multi-session team program with playbook, templates, and train-the-team materials
A consistent artifact

The Syntony Evidence Pack

The contents change with the engagement, but every result should make its purpose, evidence, limits, and next action easy to inspect.

  1. 01Question and intended use
  2. 02System, data, and stakeholder boundary
  3. 03Method or evaluation protocol
  4. 04Evidence, data, and replayable traces
  5. 05Findings, uncertainty, and limitations
  6. 06Owners, actions, or decision implications
  7. 07Reusable assets and documentation
  8. 08Re-test or follow-on research plan
Method

From question to reusable evidence

  1. 01Define the question

    Name the intended use, affected people, system boundary, criteria, and constraints.

  2. 02Build the method

    Choose the evaluation, research, analysis, or engineering approach the question requires.

  3. 03Produce the evidence

    Run the work, preserve provenance, test robustness, and state uncertainty and limits.

  4. 04Support the next action

    Deliver the artifact, control, tool, decision input, or follow-on test the client can use.

Working boundaries

Scope and independence are part of the method.

Syntony evaluates systems against defined questions, scenarios, threats, and decision criteria. Results are scoped evidence—not a universal claim that a system is safe, aligned, secure, compliant, or free of failure modes.

When Syntony has designed or implemented a material control, benchmark, or system component, that involvement is disclosed and subsequent work is not characterized as independent certification.

Start with the real question

Bring us the work a policy document or benchmark score cannot finish.

Whether you need to test a system, build a benchmark, structure a research program, implement governance, train a team, facilitate an exercise, or create evaluation infrastructure, we can define the smallest useful engagement.

Scope the workEmail Syntony