INDIVISIONTECHNOLOGIES
DISCIPLINE 04 • 2 TO 4 WEEK SPRINT

AI & Agentic System Testing, Evals & Hardening

If you have an existing AI product or multi-agent system, the hardest challenge is validating that it will perform reliably under real-world conditions without prompt drift, catastrophic hallucinations, or API cost spikes.

Direct Answer: What We DeliverIn a 2 to 4-week fixed-scope sprint (indicative starting at $6,000, tailored to scope), Indivision Technologies constructs automated evaluation harnesses with golden test datasets, conducts adversarial red-teaming against prompt injections, stress-tests tool-calling schema boundaries, and delivers cost/latency telemetry to harden your AI product for commercial readiness.
OUR EVALUATION METHODOLOGY

Quantitative benchmarking over subjective vibes.

We design quantitative evaluation suites that measure your model's real-world behavioral distribution across 4 core axes:

01. Output Faithfulness & Groundedness

Automated verification measuring whether model claims are strictly grounded in supplied reference documents or whether the model is fabricating facts and hallucinating citations.

02. Adversarial Red-Teaming & Injection Defense

Aggressive stress testing against indirect prompt injection, jailbreaking templates, system prompt extraction, and malicious payload delivery through user inputs.

03. Tool-Calling & Boundary Failure Audits

Validating tool execution schemas against invalid JSON, missing parameters, edge-case type conversions, and verifying that agents fail closed when third-party tools time out.

04. Cost & Latency Profiling

Token budget telemetry profiling cost-per-decision and response latency across different model routing choices, highlighting prompt bloat and unnecessary token spend.

Sprint Deliverables

AI Testing & Evals Scope

Starting at $6,000Indicative Sprint Investment (USD)
Custom automated evaluation harnesses with golden datasets
Comprehensive adversarial red-teaming report and exploit audit
Tool-calling schema boundary audits and failure-fallback tests
Automated regression testing suite integrated into CI/CD
Token budget and cost-per-decision optimization recommendations
Concrete code patches and deterministic guardrail integration
Sprint duration: 2 to 4 weeks
Live Production Case Studies

Evals & verification harnesses running in production.

StockTipsArena Ingestion & Evals

FinTech Evals

Audits 100k+ unstructured analyst recommendations against tick-by-tick NSE bhavcopy feeds with zero-P&L-until-traded rules, automated quarantine gates, and statistical reliability scoring.

Architecture Specsstocktipsarena.com ↗

India Algo Trader Promotion Gates

Algo Verification

Statistical walk-forward out-of-sample promotion gates ensuring algorithmic strategies cannot deploy to live broker execution without passing rigorous curve-fitting and drawdown evals.

Architecture Specsalgotrader.indivisionai.com ↗
Common Questions

AI Testing & Evals FAQ

Complementary Studio Disciplines
Discipline 01

Prototype-to-Production Modernization →

Re-engineer early prototypes, sanitize client-side API keys, and implement deterministic fallback handlers.

Discipline 03

Multi-Agent Workflows & Deterministic Automation →

Deploy autonomous agent swarms with orchestrator decomposition, bounded spend, and human oversight.

Need independent verification for your AI system?

Share your current architecture and evaluation goals. We'll outline an evaluation harness scope and provide an estimate within 24 hours.