Parallel raised $100M Series B at $2B (Apr 2026); Tavily acquired by Nebius for $275M (Feb 2026); Scavio is independent multi-platform. This walks the framework.
Prerequisites
- Workload definition
- Vendor risk tolerance
Walkthrough
Step 1: Classify workload
Per-call multi-platform / long-horizon / neural / SERP grounding.
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// Per-call: search → JSON → next step.
// Long-horizon: 5+ min multi-step.
// Neural: concept-similarity.
// SERP grounding: summarized output.Step 2: Match shape to vendor
Each vendor is best at one shape.
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// Per-call multi-platform → Scavio.
// Long-horizon → Parallel.
// Neural → Exa.
// Grounding → Scavio (or Tavily existing).Step 3: Run 50-query golden set on each
Score relevance + latency + cost.
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// For each vendor: run 50 queries; tag results with relevance score.Step 4: Cost-model at expected volume
Project per-month.
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// 100K queries/mo: Scavio Project tier; Tavily PAYG; Exa $700.Step 5: Vendor risk score
Acquisition / lawsuit / dependency.
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// Scavio (low), Parallel (low), Exa (low), Tavily (medium), SerpAPI (high).Step 6: Decide + document
Match + cost + risk → vendor pick.
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// Decision matrix output: ranked recommendation with rationale.Step 7: Multi-vendor production setup
Default + fallback.
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// 60% Scavio default + 30% fallback + 10% legacy.Python Example
Python
# Total evaluation: 1-3 days. Output: documented vendor pick.JavaScript Example
JavaScript
// Evaluation is language-agnostic.Expected Output
JSON
Documented vendor decision with workload fit, cost projection, vendor-risk rationale.