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TAJALLI
TajalliQISTAS

Certify before you commit.

QISTAS is a deterministic certification layer between operational decision systems and execution. It determines what is admissible now, under which evidence and constraints, and when that certification must be withdrawn or recomputed.

  1. Forecast / Optimize / Plan

    Existing stack

  2. QISTAS

    Certification plane

  3. Certified commitment

    Within bounds

  4. Execution

    Existing stack

01Position

QISTAS does not replace your optimizer.

The optimizer asks: what is the best action? QISTAS asks: what can the organization legitimately and operationally commit to now, under the evidence currently available?

It sits as an independent certification plane. Forecasting systems, optimizers, market engines, planning engines, VPPs, smart-charging and dispatch systems stay in place.

  1. Your stack

    Forecasting estimates.

  2. Your stack

    Optimization selects.

  3. Tajalli

    QISTAS certifies admissibility.

  4. Your stack

    Execution acts.

02Decisions

The proposal is an input. The certificate is the commitment.

When a proposal exceeds what current evidence supports, QISTAS does not argue with the optimizer. It certifies the admissible portion and gates the commitment to it.

Illustrative commitment

CLAMP
Optimizer proposes
4.2 MW
QISTAS certifies
2.9 MW
Approved commitment
2.9 MW
1.3 MW of the proposal is not supported by current evidence. It is withheld from commitment, not discarded from planning. Values are illustrative.
  • ALLOW

    The proposal is admissible as stated.

  • CLAMP

    Only a certified portion is admissible.

  • REJECT

    No admissible commitment exists now.

  • RECERTIFY

    A boundary was crossed. The prior certificate is withdrawn.

03Scope

Every certificate answers seven questions.

  1. 01What is admissible now
  2. 02Under which evidence
  3. 03Under which constraints
  4. 04For how long the certification remains valid
  5. 05Which boundary invalidates it
  6. 06When it must be withdrawn
  7. 07When a new state requires recertification

04Architecture

From evidence to a gated, replayable commitment.

  1. 01Evidence
  2. 02Canonical Source State
  3. 03Deterministic Certification
  4. 04Validity Boundary
  5. 05Boundary Monitoring
  6. 06Withdrawal / Recertification
  7. 07Portfolio Certification
  8. 08Commitment Gate
  9. 09Audit / Replay
QISTAS certification architecture

05Capabilities

Certification infrastructure, not another model.

  • 01

    Canonical Source State

    Heterogeneous telemetry, schedules and declarations are normalized into one explicit, versioned state before anything is certified.

  • 02

    Deterministic Certification

    Admissibility is computed as a deterministic function of state and policy. No invented evidence, no sampling in the decision path.

  • 03

    Validity Boundary

    Each certificate states the conditions under which it holds. Validity is explicit, not assumed from elapsed time alone.

  • 04

    Rolling Recertification

    When monitored evidence crosses a boundary, the certificate is withdrawn and the new state is deterministically recertified.

  • 05

    Portfolio Certification

    Asset-level certificates are composed into a conservative portfolio-level certificate. The portfolio never claims more than its assets support.

  • 06

    Commitment Gate

    Bids, offers, schedules and dispatch instructions pass only within certified bounds. Proposals beyond them are clamped or rejected.

  • 07

    Audit & Replay

    Any certificate can be reconstructed from its recorded state, policy version and evidence lineage.

  • 08

    Evidence Ledger

    Immutable decision lineage with cryptographic certificate identity. Every certificate is hashed over the content that produced it.

  • 09

    Policy Versioning

    Certification rules are versioned releases. Every certificate references the policy version under which it was issued.

  • 10

    Integration Adapters

    Client-specific adapters map local formats into canonical state. The adapter changes per environment; the deterministic core does not.

06Integration

Attaches to the stack you already run.

Integration targets are scoped per engagement. Shadow studies can begin from file exports before any live interface is built.

  • REST APIs
  • Event streams
  • Kafka-compatible systems
  • CSV / SFTP for shadow studies
  • Enterprise APIs
  • OCPP / OCPI where relevant

Listed interfaces are supported integration patterns, confirmed per deployment.

07Selected validation results

First validated vertical: distributed energy flexibility.

QISTAS was validated first against distributed flexibility use cases, including EV flexibility. Energy is the first validation domain of the architecture, not the boundary of it.

QISTAS

Fresh unseen validation

Frozen decision rules evaluated on data not used during calibration.

external publication compression
98.7248%
decision-relevant status transitions captured
23 / 23
ADMISSIBLE → INFEASIBLE transitions captured
17 / 17
downward overstatement events
0
stale publications
0
deterministic replay
26 / 26

Results shown are from controlled public-data validation and shadow evaluation. They are not customer-production performance claims.

QISTAS

Portfolio validation

Conservative composition of asset-level certificates into portfolio commitments.

of internally admissible capacity-time preserved by the conservative certification layer
95.61%
portfolio overstatement events
0
deterministic portfolio replay in the evaluated dataset
100%

Results shown are from controlled public-data validation and shadow evaluation. They are not customer-production performance claims.

08QISTAS questions

What evaluation teams ask about QISTAS.

Does QISTAS replace forecasting or optimization?

No. Forecasting estimates what may occur. Optimization determines a preferred decision. QISTAS determines what can currently be certified as admissible under the available evidence and governing constraints.

These functions are complementary.

What invalidates a QISTAS certification?

Each certification carries explicit validity conditions: the evidence it was derived from and the operational boundaries within which it holds.

A certification is invalidated when monitored evidence crosses one of those boundaries, when required evidence stops arriving, or when the governing policy version is replaced. It is then withdrawn and the current state is evaluated again.

What happens when evidence becomes stale?

Staleness is treated as a boundary in its own right. Evidence older than its permitted age no longer supports the certification built on it.

Depending on configuration, QISTAS withdraws the affected certification or reduces it to what remaining evidence still supports. It does not continue publishing a certification on expired evidence.

Can QISTAS operate in Shadow Mode?

Yes. In Shadow Mode, QISTAS consumes the same proposals and evidence as the production workflow and computes certifications in parallel, without gating any commitment.

Its decisions are then compared with what was actually committed. Shadow studies can begin from historical or file-based exports.

How is a QISTAS decision replayed?

Each certification is recorded with its input evidence, canonical state, policy version, engine version and validity boundaries.

Replay re-executes the certification from those recorded inputs. Because the decision layer is deterministic, the replayed certification must match the original; any difference is treated as a defect.

Enterprise enquiries

Certify before you commit.

Start with a shadow study on historical or live exports. No change to your existing optimization stack is required.