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Jump Trading
Jump Trading
412 seats · FY26
Manifold
Manifold · last 30 days · 15 months since shim install

Manifold

One shim over the AI SDKs your code already uses. It learns what each workload needs, then sends every call to the cheapest model and seller that does the job as well.

Changes wait for a human to approve them.
Saved by Manifold · last 30 days
$118K

50% less than the same 14.7M calls would have cost on the models the code asks for, with quality held at 99.0% parity.

Without routing$236.2K
With routing$117.7K
Next 90d at today's routes+$463.3K
Calls routed · 30 days
74%
10.9M of 14.7M calls
Run-rate
$129.6K/mo
vs. $271.2K unrouted · −$141.6K
Projected · Next 90d
$585.1K
saved if the 5 pending changes are approved ($463.3K without)
Quality parity
99.0%
vs. original models, graded after each call
Framework · today

How each call gets routed

Today's traffic through the three lanes. Pass-through workloads are still observed and graded, just not moved.
Incoming AI request
Your code calls Anthropic, OpenAI or Gemini as usual
544.3K calls today
→
Shimmed library layer
Logs prompt, response, tools, tokens and cost
+3 ms median overhead · 12 services
Consistent / simple · Same shape every call
Route on market price data
Qualified model, cheapest seller
Cheapest provider
Real-time market rates
Traffic
64%
Calls/day
346.2K
Saved/mo
$77.6K
Variable / complex · Difficulty swings per call
Decision model routing
Jev scores every request
Low-cost ↔ frontier
Easy calls go cheap, hard ones go big
Traffic
7%
Calls/day
37.5K
Saved/mo
$55.6K
Specialty · Needs live outcomes to judge
A/B test
Split traffic across arms
Dynamic evaluation
Winner promoted automatically
Traffic
14%
Calls/day
77.6K
Saved/mo
$8.36K
Post-review flow & quality evaluation
Grades accuracy, latency and user feedback after every call, then updates model profiles and routing rules.
Quality parity
99.0%
Still pass-through
15% · 5 workloads
↩
Savings · daily

Cost vs. no-routing baseline

Spend on shimmed traffic, last 30 days. The green band is what the original models would have cost on top.
Traffic

Calls by lane

Share of calls. New services start in pass-through while they're observed.
Rollout

Where Jump Trading is

  1. Install shim
    Jun 19, 2025
    AI skill opens one PR per service
  2. Observe
    Jul 18, 2025
    30 days of prompts, responses, tools
  3. First route live
    Aug 5, 2025
    Support triage → Qwen3.8 27B (on-prem)
  4. Recommendcurrent
    Now
    5 workloads routed · 5 awaiting review
  5. Auto-route
    Next
    Guardrailed changes go live on their own
Needs review

5 recommendations · $37.2K/mo

Each one has cleared shadow evaluation and the org guardrails.
Review all →
  • Route incident root-cause agent by difficulty
    Claude Fable 5.1 → Claude Sonnet 5 26% · Claude Opus 5 56% · Claude Fable 5.1 18%
    −$12.1K/mo
    99.1% parity · Sep 7
  • Route internal knowledge answers by difficulty
    GPT-5.6 Sol → GPT-5.6 Luna 57% · Gemini 3.8 Flash 38% · GPT-5.6 Sol 5%
    −$9.29K/mo
    99.1% parity · Sep 10
  • Move contract & invoice extraction to Qwen3.8 27B
    Gemini 3.1 Pro → Qwen3.8 27B
    −$6.57K/mo
    98.1% parity · Sep 7
  • Move customer email drafts to Qwen3.8 27B
    GPT-5.6 Sol → Qwen3.8 27B
    −$5.80K/mo
    98.9% parity · Sep 2
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