FMR Enterprises / Capabilities / AI Operations
Division 01 · AI Operations

Where AI meets human judgment at operational scale.

A senior workforce trained, calibrated, and deployed against frontier model evaluation, RLHF, multimodal assessment, reasoning, and domain-specific annotation programs.

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Active Engagements
On-Demand
PhD-Tier Access
0%
Avg Internal QA
0
Tasks Delivered
Six Disciplines

The full AI operations workload.

From preference data to multimodal evaluation to red-teaming — every discipline runs through our calibrated workforce.

01 · Training

RLHF & LLM Training

Preference ranking, instruction tuning data, comparison evaluations. Calibrated against client rubrics with multi-tier review before submission.

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01 · Training · Detail

RLHF & LLM Training

  • Preference comparisons (A vs B ranking) at production scale
  • Instruction-tuning data generation across domains
  • Multi-turn dialogue assessment for chat models
  • Calibrated against client-specific rubrics before launch
  • Multi-tier review before client submission
02 · Evaluation

Multimodal Assessment

Image, video, and audio output evaluation. Frame-level annotation, behavioral assessment, and quality scoring across foundation models.

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02 · Evaluation · Detail

Multimodal Assessment

  • Image, video, and audio output assessment
  • Frame-level annotation for video evaluation
  • Behavioral assessment of agent outputs
  • Quality scoring across foundation model versions
  • Cross-modal coherence and grounding checks
03 · Reasoning

Analytical Reasoning

PhD-tier evaluation of model reasoning on STEM, quantitative, and analytical tasks. Step-by-step validation, error categorization, baseline comparison.

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03 · Reasoning · Detail

Analytical Reasoning

  • PhD-tier evaluators across STEM & quantitative domains
  • Step-by-step validation of model reasoning chains
  • Error categorization and root-cause taxonomy
  • Baseline comparison against expert humans
  • Used for frontier reasoning benchmark programs
04 · Annotation

Data Annotation

Domain-specific labeling — medical imaging, legal documents, financial data, code, technical content. Annotator pool matched to subject expertise.

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04 · Annotation · Detail

Data Annotation

  • Medical imaging — radiology, pathology, clinical
  • Legal documents — contracts, briefs, case law
  • Financial data extraction & structured labeling
  • Code annotation and technical content review
  • Domain-matched annotator assignment
05 · Safety

Red Teaming & Safety

Adversarial prompt engineering, jailbreak detection, harm category assessment. Specialized reviewers trained on safety taxonomy frameworks.

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05 · Safety · Detail

Red Teaming & Safety

  • Adversarial prompt engineering & stress testing
  • Jailbreak detection and classification
  • Harm category taxonomy assessment
  • Safety framework alignment review
  • Edge case identification & reporting
06 · Operations

Prompt Operations

Production prompt management, A/B testing, prompt engineering for enterprise deployments. Quality-controlled prompt libraries.

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06 · Operations · Detail

Prompt Operations

  • Production prompt library management
  • A/B testing infrastructure for prompt variants
  • Prompt engineering for enterprise deployments
  • Quality-controlled, versioned prompt libraries
  • Rollback and audit capabilities
Active & Recent Programs

Engagement case files.

Anonymized at client request. Methodology and references available under NDA.

Engagement 01
PAUSED

Multimodal Foundation Eval

Q1 2026 · Client-side pause

Senior evaluators assessing model outputs across multiple batches totaling 80–160 videos. Frame-level annotation with behavioral assessment.

Multimodal
Workload
160
Videos
95%
QA
4+
Batches
Engagement 02
ACTIVE

PhD Analytical Reasoning

Spring 2026 · Active

Specialized PhD-tier recruiting layer scaled on demand across 200+ analytical reasoning tasks. Pre-vetted bench mobilized as scope expands.

200+
Tasks
On-Demand
Specialist Pool
90%
QA
PhD
Tier
Engagement 03
DELIVERED

RLHF Preference Ranking

Mid 2025 · Completed

Senior annotation team delivered 8,000–9,500 ranking comparisons across 4–4.5 months. Exceeded client baseline by 5+ points.

9.5K
Comparisons
Senior
Team Tier
90%+
QA
4.5mo
Window
Built for Quality. Built for Scale.

A six-tier workforce architecture.

Specialists at every layer — recruited, vetted, calibrated, deployed. No generalist ladder.

T1

PhD-Tier Reviewers

Domain PhDs for STEM, analytical, and frontier reasoning evaluation.

↻ Detail
T1 · Detail

PhD-Tier Reviewers

  • Active in math, physics, statistics, CS, biology
  • Frontier reasoning & analytical benchmark programs
  • Pre-vetted talent network scaled on demand per discipline
  • Direct calibration with engagement leads
  • Highest-tier escalation reviewers
T2

Senior Annotators

Experienced annotators with multi-program calibration history.

↻ Detail
T2 · Detail

Senior Annotators

  • 3+ years cross-program annotation experience
  • Calibrated across RLHF, multimodal, & domain work
  • Multi-tier review pipeline operators
  • Often promoted to QA leads after track record
  • Backbone of production engagements
T3

QA Leads

Multi-layer review specialists who own client-baseline compliance.

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T3 · Detail

QA Leads

  • Inter-annotator agreement (IAA) tracking
  • Client-baseline compliance monitoring
  • Calibration session ownership
  • Escalation review for edge cases
  • Direct interface with Director of QA
T4

Engagement Leads

Daily delivery owners. Liaison with client-side program managers.

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T4 · Detail

Engagement Leads

  • Daily delivery cadence ownership
  • Liaison with client-side program managers
  • Throughput planning and resource allocation
  • Issue triage and rapid response
  • Reporting and analytics for client review
T5

Executive Oversight

CTO & Director of QA direct calibration and escalation handling.

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T5 · Detail

Executive Oversight

  • Direct calibration sessions taught by leadership
  • Final escalation authority on disputed work
  • Engagement design and scoping
  • Quality discipline ownership at executive level
  • Client principal-to-principal interface
T6

University MOUs

Direct partnerships with top universities. Academic pipeline for PhD-tier specialists.

↻ Detail
T6 · Detail

University MOUs

  • MOU partnerships with leading universities
  • Direct pipeline from PhD students & senior faculty
  • Continuous recruitment in STEM & AI training
  • Academic-grade rigor in commercial workflows
  • Validated talent flow from research-active institutions
Quality Discipline

QA is not a step. It is the architecture.

Every program is calibrated before production. Every deliverable passes multi-tier review. Baselines are met or exceeded — never assumed.

Internal QA is owned by the Director of QA at the executive level. New evaluator onboarding includes mandatory pre-deployment calibration, sample work review, and ongoing inter-annotator agreement tracking.

Multimodal Evaluation
95%
Q1 2026 · 160 videos audited
RLHF Preference Ranking
94%
Mid 2025 · 9,500 comparisons
Analytical Reasoning (PhD)
90%
Spring 2026 · 200+ tasks · ongoing
Data Annotation (domain)
92%
Multi-program · medical, legal, financial
Calibration Convergence
96%
Inter-annotator agreement post-calibration
Four Engagement Models

Structured to match your operating reality.

Choose the model that fits your timeline, governance posture, and integration depth.

Model 01

Pilot Engagement

2–6 weeks · Fixed scope

Validate fit, methodology, and quality before scaling. Limited team, defined deliverable, baseline QA metrics.

↻ Detail
Model 01 · Detail

Pilot Engagement

2–6 weeks · Fixed scope
  • Fixed-scope deliverable defined upfront
  • Limited team — typically 3–6 specialists
  • Baseline QA metrics reported daily
  • Includes calibration phase before production
  • Outcomes: methodology validation + sample work
Model 02

Production Program

3–12 months · Recurring

Ongoing program with dedicated workforce, weekly cadence, and continuous QA reporting. Most common engagement type.

↻ Detail
Model 02 · Detail

Production Program

3–12 months · Recurring
  • Dedicated team allocated by discipline
  • Weekly delivery cadence with milestone reviews
  • Continuous QA reporting and trend analysis
  • Multi-tier review pipeline standard
  • Scales up/down based on volume needs
Model 03

Embedded Team

6+ months · Integrated

FMR workforce operates inside client systems and processes. Direct integration with internal teams and tools.

↻ Detail
Model 03 · Detail

Embedded Team

6+ months · Integrated
  • Workforce operates inside client tools & systems
  • Direct integration with internal client teams
  • Joint planning and resource governance
  • Often follows successful production engagement
  • Long-horizon partnership model
Model 04

Surge Capacity

48–72 hr mobilization

Rapid mobilization of pre-vetted bench for surge volumes. Existing client commitment required.

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Model 04 · Detail

Surge Capacity

48–72 hr mobilization
  • Pre-vetted bench mobilization in 48–72 hours
  • Pre-scoped surge agreements maintained
  • Requires existing client relationship history
  • Typical scope: high-volume short-duration work
  • Calibration carried over from prior engagement
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Whether you need a specialized AI workforce, an end-to-end digital platform, or both — FMR operates as your unified delivery partner. Send a brief, book a call, or download the full capability brief.