Modaic
Modaic aligns language models with expert judgment to deliver consistent automated decisions.
PaidProductivity
Visit website Free to browse · updated 2026-06-23
What is Modaic?
Modaic helps organizations convert subjective expert knowledge into reliable outputs from language models by identifying low-confidence predictions and incorporating human feedback to update the underlying guidelines. This process supports ongoing alignment without requiring manual prompt adjustments or model retraining. The platform includes built-in mechanisms for tracking decision versions, estimating confidence levels on each output, and handling large-scale workloads through batch processing. It also offers options for deployment in managed environments or customer-controlled infrastructure while meeting compliance standards for sensitive information. Users apply the tool across tasks such as categorizing content, evaluating model traces, and ranking options where precise adherence to custom criteria is essential. The approach keeps human oversight focused on edge cases rather than exhaustive reviews.
Key features
Define decision tasks as structured code with inputs, outputs, and rubrics
Automatically detects uncertain decisions and surfaces them for review
Rewrites instructions until LLM agrees with expert judgment
State-of-the-art confidence estimation on every decision
Versioned, auditable, and maintainable like software
Batch infrastructure for high-volume workloads
SOC 2 Type II compliant with enterprise security options
AI models Modaic uses
openai/gpt-oss-120b
Open-weight MoE model optimized for high-reasoning, agentic, and general-purpose production use cases. Runs on a single H100 with native MXFP4 quantization. 117B (5.1B active) · 131k context
meta-llama/llama-3.1-8b-instruct
Llama 3.1 8B Instruct
meta-llama/llama-3.1-8b
Llama 3.1 8B
What you can use Modaic for
Classification
Assign labels or categories to unstructured inputs such as intent-based routing, support ticket triage, and content moderation filters.
LLM-as-a-judge
Run grounded, human-aligned LLM judges for safety compliance, RL verifiers, and agent trace evaluation directly in your observability stack.
Ranking & Matching
Order candidates by preference or resolve entities for use cases including search results ranking, entity resolution, and candidate-job fit.
How to use Modaic
- 1Define your task as code with structured inputs, outputs, and a base rubric
- 2Run the model on real data to surface only the least certain decisions
- 3Review ambiguous cases and provide the correct answer with reasoning
- 4Let Modaic automatically rewrite instructions until the LLM agrees
- 5Deploy to production with ongoing detection of edge cases and drift
Modaic pricing
Pricing model: Paid. Plan details are indicative — check the site for current prices.
Pay-as-you-go
$0/mo
- 2 included Arbiters
- $69/mo per additional Arbiter
- Model-specific managed rates
- BYOK inference tokens free
- $30 in alignment tokens included
- $3.00 / 1k scores
- Community Slack & docs
- Usage billed separately
Scale
Popular$249/mo
- 25 included Arbiters
- $39/mo per additional Arbiter
- Model-specific managed rates
- BYOK inference tokens free
- $100 in alignment tokens included
- 200k scores included, $2.00 / 1k after
- Private Slack Channel, 9AM-10PM PST support
Enterprise
Custom
- Custom Arbiter limits
- Machine-time pricing
- BYOK tokens free
- Volume pricing for confidence
- Managed, VPC, or BYOC infrastructure
- Dedicated 24/7 support, SLA, AI transformation engagement
Editor's verdict
Pros
- +Lightning-fast setup without fine-tuning or prompt engineering
- +Focuses expert review only on ambiguous cases
- +Cheaper than frontier reasoning models with automatic alignment
Cons
- –Requires defining tasks as code
- –Additional fees for extra arbiters and alignment tokens
Our take: Modaic is a solid productivity choice. It's valued for lightning-fast setup without fine-tuning or prompt engineering and focuses expert review only on ambiguous cases. The main trade-off is requires defining tasks as code. Best when you need reliable, professional output.
Frequently asked questions
Modaic turns expert judgment into reliable LLM decisions by detecting uncertainty, capturing human input on edge cases, and automatically updating instructions without fine-tuning or prompt engineering.
Summary
Modaic is a solid productivity choice. It's valued for lightning-fast setup without fine-tuning or prompt engineering and focuses expert review only on ambiguous cases. The main trade-off is requires defining tasks as code. Best when you need reliable, professional output.
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