AISERV SYSTEMS

Critical systems. Traceable operations.

Built for workflows that cannot fail silently.

We engineer platforms where traceability, access governance, and secure information handling are first-class architecture.

Discuss your workflow Explore TRACIUM

Madrid · Software infrastructure · Spain and Europe

aiserv.ops · workflow console live

Workflow status

Active

wf_ops_8f2a

Trace events

  1. Receive request.received
  2. Verify access.verified
  3. Record evidence.recorded
  4. Close workflow.closed

Access governance

Time-bound authorization window

verified

Audit record

immutable

Evidence chain append-only

Company

Applied engineering for accountable operations

AISERV SYSTEMS designs production platforms and applied research programs for institutions that cannot rely on informal logs or silent failures.

AISERV SYSTEMS · platform

Platform Production

TRACIUM

Enterprise operational infrastructure for governed workflows.

TRACIUM is AISERV production platform for workflow governance, operational visibility, traceability, access control, delivery lifecycle, and audit-ready evidence—in one reconstructable model.

  • Workflow governance
  • Operational visibility
  • Traceability
  • Access control
  • Operational intelligence
  • Auditability
production
  • Event ingest live
  • Append-only log live
  • Access gateway live
  • Evidence export ready
tracium.control · governed workflows live

Workflow execution

Handoff State p99
wf_42c1 access.governed 142ms
wf_41f8 lifecycle.closed 98ms
wf_41e2 verification.pending 111ms

Access gateway

Operator checkpoint · L1

Window 4:32 · scoped governed

Append-only trail

  • 09:14:02 request.created ok
  • 09:14:18 documents.synced info
  • 09:15:41 access.verified ok
  • 09:16:03 download.completed ok

Workflow states

  1. Initiated
  2. Governed
  3. Recorded
  4. Exportable

Trace event stream

seq:1849207 request.created
seq:1849208 record.append
seq:1849209 access.recorded
seq:1849210 lifecycle.pending

Governance context

Policy
gov.workflow.v3
Retention
7y · immutable store
Log mode
append-only
Correlation
wf_42c1 · del_42c1
Evidence chain head sha256:8f2a91…c41e

Active handoffs

  • wf_42c1 access.governed
  • wf_41f8 lifecycle.closed
  • wf_41e2 verification.pending

Operator checkpoints

  1. cleared
    Handoff validated ops.reviewer
    09:14:02 seq:1849207
  2. cleared
    Access window scoped gateway.policy
    09:14:18 seq:1849208
  3. active
    Recipient verification access.gateway
    09:15:41 seq:1849209
  4. queued
    Closure review ops.reviewer
    — pending
audit.trail log.head · seq 1849210
append-only
Seq Time Event Actor St
1849207 09:14:02 request.created system:orchestrator ok a8f2e1
1849208 09:14:18 documents.synced svc:storage info b1c04a
1849209 09:15:41 access.verified gateway:access ok c9d812
1849210 09:16:03 download.completed recipient:bound ok d4e903

Control path

Governed operational flow

How TRACIUM moves sensitive work from intake to reconstructable visibility—each transition policy-bound, recorded, and visible in one platform model.

Policy, evidence, and operator authority attach at every layer. No handoff proceeds without a traceable record inside TRACIUM.

TRACIUM control path

  1. INGRESS

    Input / Request

    Operational requests enter with context bound — source, policy scope, and correlation identifiers attached.

    request.received
  2. ACCESS

    Access Control

    Authorization paths enforce least privilege before any information exposure or handoff.

    access.policy
  3. WORKFLOW

    Workflow Engine

    Controlled execution orchestrates transitions — operator authority preserved on exceptions and closure.

    workflow.executed
  4. TRACE

    Traceability Layer

    Correlation and lifecycle state make every handoff reconstructable across systems and channels.

    trace.correlated
  5. TRACIUM

    Secure Delivery

    Governed delivery and access windows — exposure is time-bound and policy-bound.

    delivery.issued
  6. AUDIT

    Audit Records

    Verifiable operational records append at each transition — built for internal review, not informal logs.

    record.append
  7. OPS VIEW

    Operational Visibility

    Operators and governance teams reconstruct state, access, and outcomes from unified operational evidence.

    visibility.ready
  • Live control path
  • Verifiable record
  • TRACIUM delivery

Integrated platform capabilities

  • Operational visibility

    Unified state across handoffs, access, and lifecycle transitions—operators see what is in flight without assembling logs after the fact.

  • Governed delivery

    Secure delivery and document lifecycle control with policy-bound windows, orchestrated transitions, and evidence at each handoff.

  • Access governance

    Least-privilege paths, operator checkpoints, and verification separated from content stores—authority recorded before exposure.

  • Operational intelligence

    Interpretable signals and review queues inside the platform—metrics and routing tied to source events, with human authority on closure.

  • Immutable auditability

    Append-only operational records designed for tamper-evident review—exportable evidence when governance or audit requires proof.

  • Workflow reconstruction

    Correlated identifiers from request through delivery and closure—one chain your teams can rebuild under scrutiny or incident response.

Platform layer

Operational intelligence inside TRACIUM

Routing, analytics, and review queues are part of the same evidence model—not a separate product. Signals stay tied to workflow context; operators retain authority on every closure path.

  • Controlled workflow execution

    Orchestrate structured processes with approval points and accountability—automation without silent side channels.

  • Traceable operational analytics

    Connect metrics and alerts to source events so teams understand why something happened, not only that it changed.

  • Human review queues

    Route exceptions and sensitive cases to accountable operators with a clear record of who confirmed what.

Request technical briefing Evaluate operational scope

Explore the TRACIUM platform page

AISERV SYSTEMS · research initiative

Applied AI Research Research initiative

Operational computer vision under human authority.

FightSafe AI

Experimental systems engineering for supervised review—not autonomous officiating.

FightSafe AI is an applied research program in multi-source computer vision, temporal signal fusion, and operator review tooling for live and post-hoc monitoring workflows.

  • Computer vision
  • Operational AI
  • Human-supervised
  • Publication-oriented
  • Not a medical device
lab eval · supervised
  • Frame ingest
  • Pose backends
  • Fusion engine
  • Review queue
fightsafe.lab · fusion eval sess_eval_8f2a HITL · eval

Pose estimation · schematic

backend: modular · conf overlay

Event reconstruction

  1. frame.align Multi-source align
  2. signal.dense Dense trace ingest
  3. episode.merge Temporal consolidate
  4. review.enqueue Operator queue

Review queue

  • ep_2041 Interval · merge window queued 0.72
  • ep_2038 Interval · cooldown review 0.81
  • ep_2035 Interval · suppressed ok 0.41

Research tracks

  • CV · pose substrates active

    Kinematic cues under partial observability

    backends · ablation
  • Temporal fusion active

    Multi-source alignment & episode merge

    eval harness
  • Review tooling active

    Operator queues & evidence export

    pipeline integration

  • Pose estimation substrates

    Modular perception layers for kinematic and postural cues—replaceable backends, fusion-first architecture.

  • Event reconstruction

    Dense signal traces consolidate into sparse review episodes with merge rules aligned to live and post-hoc review.

  • Human-in-the-loop review

    Operators confirm, reject, or escalate intervals with auditable evidence—mandatory authority on every surfaced cue.

  • Operational signal fusion

    Interpretable aggregation over biomechanical, postural, and behavioral families—bounded triage, not autonomous action.

  • Pipeline telemetry

    Session metadata, fusion exports, and observability for log replay, technical evaluation, and reconstruction.

  • Traceable fusion workflows

    Per-frame evidence and consolidation operators so reviewers trace scores to contributing signal families.

Operator review pipeline

  1. signal.surface Candidate interval
  2. fusion.explain Fusion evidence bind
  3. review.triage Operator triage
  4. review.confirm Human confirmation
  5. audit.record Review record append

Publication timeline

  1. 2024 Q4 Annotation protocol & fusion architecture completed
  2. 2025 H1 Evaluation harness & benchmark suite active
  3. 2025 H2 Manuscript preparation · methods active
  4. 2026 Peer-review submission (target) planned

Dissemination

Publication-oriented research output

Manuscripts in preparation address multi-source temporal fusion and operator-supervised review workflow design. Work is scoped for technical peer review—nothing on this site is presented as already published or clinically validated.

Target window
2025–2026
Field protocols
Technical alignment with combat-sports organizations on annotation and evaluation scope—no public partner endorsements or certification claims.

FightSafe AI is an AISERV research initiative. Not a medical device, autonomous referee, or diagnostic product.

Security engineering

Security engineering for high-accountability environments

AISERV builds security-oriented infrastructure for environments that require strong traceability, governed access, and reconstructable evidence. Engineering criteria align with ENS-oriented assessment work and CCN-STIC hardening references—access paths, platform boundaries, and verifiable records are defined in architecture, not added later.

  • Security-first architecture

    Service boundaries, access models, and evidence paths are defined before production scope expands. Security architecture compatible with ENS-oriented assessment work—designed for environments where traceability and governance are architectural primitives.

  • Reduced public attack surface

    Static delivery without an application runtime on the public path; no secrets in the repository; hardened transport at the edge. Inspired by high-security hardening patterns used in institutional perimeter design.

  • Governed platform boundaries

    Authenticated service limits, explicit state-change policy, and verifiable side-effects on sensitive operations. Boundaries shaped so operational records remain reconstructable under technical evaluation and governance review.

  • Controlled access paths

    Verification isolated from content stores; bounded attempts and logged outcomes before exposure. Governed paths for patient-facing and operator-facing access—aligned with high-level access-control expectations without opening internal systems.

  • Verifiable operational records

    Correlated, append-oriented events across delivery, access, and lifecycle—verifiable operational records built for reconstruction when assessment, audit, or incident response requires proof.

  • Least privilege

    Scoped roles, tokens, and integration credentials with policy enforced before routing. Segregated trust between operators, services, and integration endpoints.

  • Operational traceability

    One reconstructable chain from request through handoff, access, and storage. Operational traceability as an engineering default in platforms where silent failure is unacceptable.

  • Deployment discipline

    Protected secrets, verified dependencies, and documented security headers in production. Deployment discipline so access policies and evidence retention remain enforceable after release.

  • Responsible disclosure

    Report suspected vulnerabilities in AISERV SYSTEMS infrastructure or supported deployments privately before public disclosure. See SECURITY.md for scope and coordination. AISERV does not operate a paid bug bounty programme.

Reference frameworks

Engineering evaluation context

Spanish and EU reference frameworks for engineering evaluation—ENS, CCN-STIC, data protection, electronic trust, and sector guidance on clinical information handling.

These references are used as engineering context and evaluation criteria, not as a public claim of certification.

Contact

Contact engineering

TRACIUM scope, security-oriented infrastructure, or applied research engagements. Direct engineering contact—no reseller or generic sales intake.

info@aiserv.es

Describe your workflow, integration boundaries, and accountability requirements.