Respan (formerly Keywords AI) vs Stellaris AI
Compare Respan (formerly Keywords AI) vs Stellaris AI and see which AI Large Language Model (LLM) tool is better when we compare features, reviews, pricing, alternatives, upvotes, etc.
Which one is better? Respan (formerly Keywords AI) or Stellaris AI?
When we compare Respan (formerly Keywords AI) with Stellaris AI, which are both AI-powered large language model (llm) tools, There's no clear winner in terms of upvotes, as both tools have received the same number. Your vote matters! Help us decide the winner among aitools.fyi users by casting your vote.
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Respan (formerly Keywords AI)
What is Respan (formerly Keywords AI)?
Respan is an LLM engineering platform for teams shipping production AI agents and applications. Route model traffic through one gateway, trace every call in detail, run evals on offline datasets and live traffic, and monitor cost, latency, and errors from a single dashboard.
The product grew out of Keywords AI, a Y Combinator Winter 2024 company founded by engineers from the University of Illinois. What started as LLM routing expanded into full observability after customers asked for visibility into how agents behaved in production. Respan now positions itself around the loop from tracing to evaluation to iteration.
It fits ML engineers, platform teams, and AI product builders who need gateway failover, prompt version testing, production quality scoring, and spend controls without stitching together separate tools. Customers cited on the site include teams at Retell AI, Mem0, Lovable, and Gumloop.
Stellaris AI
What is Stellaris AI?
Stellaris AI builds large language models marketed around native safety and human-like reasoning for real-world tasks. Its flagship SGPT line targets text and code generation, knowledge Q&A, logical reasoning, and analytics at a scale the company describes as hundreds of billions of parameters. The public site centers on a waitlist for SGPT-4.5 rather than a self-serve chat product you can open today.
Where many LLM labs bolt safety filters on after training, Stellaris AI frames safety as part of the model stack through strict source referencing and harm minimization in the architecture. It also highlights Real-time Context Learning (RCL) for adapting answers with live knowledge, a combination aimed at teams that want cited outputs instead of unchecked generation.
Researchers, enterprise AI teams, and early adopters join the SGPT-4.5 waitlist for first access. The company cites 10+ years of research and three core product pillars: Stellaris GPT, Native Safety, and RCL.
Respan (formerly Keywords AI) Upvotes
Stellaris AI Upvotes
Respan (formerly Keywords AI) Top Features
One endpoint reaches 1,000+ models; switch providers by changing a single model name
Automatic fallbacks move to the next model when one errors or rate-limits
Response caching serves repeat prompts instantly and cuts cost on duplicates
Budgets and rate limits per API key, customer, or org with warn and block thresholds
Trace trees capture every LLM call, tool run, retrieval, and agent turn with cost and latency
Evaluators combine LLM judges, code checks, and human review into one weighted score
Alerts reach Slack, email, or webhooks when cost, errors, latency, or tokens cross limits
Stellaris AI Top Features
SGPT models described at 100B+ parameters for text, code, and reasoning tasks
Native Safety framework with strict source referencing and harm minimization
Real-time Context Learning (RCL) for live knowledge integration
Three product pillars: Stellaris GPT, Native Safety, and RCL
SGPT-4.5 waitlist open for early access signups on the homepage
Respan (formerly Keywords AI) Category
- Large Language Model (LLM)
Stellaris AI Category
- Large Language Model (LLM)
Respan (formerly Keywords AI) Pricing Type
- Freemium
Stellaris AI Pricing Type
- Freemium