Reproducibility over guesswork
A result you cannot reproduce is not finished. Every result traces back to a numbered Save.
Siamang Labs is a software company building tools for survey and quantitative research. Our products connect the whole study, from the first question to the final report, with methods you can inspect and code you can keep.
Every other data discipline got version control and reproducible pipelines. Survey research mostly did not.
The questionnaire lives in one builder, the data is exported to a laptop, the analysis runs in a third tool and the report is pasted together in a fourth. Six months later nobody can say how a number was produced.
We think a study belongs in one place: the questionnaire, the data, the analysis and the report, connected, with methods you can inspect and code you can keep. So we build it.
final_v7_FINAL.sav2.1 MBfinal_v7_FINAL_v2 (use this).sav2.2 MBsurvey (copy).qsf88 KBanalysis_REAL_dont_delete.xlsx4.7 MBcleaning_script_OLD.R12 KBnotes_from_call.docx31 KBWe bring the proven practices of software engineering to research: versioning, validation and reproducible workflows. In Studio every Save versions the project and generates readable Python, so a number in the report traces back to the questionnaire and analysis that produced it.
questionnaire.py + flows/Survey and analysisdata/responses.csvThe data behind the resultsMETHODS.mdYour research decisionsPROVENANCE.md + CITATION.cffOrigins and attributionenvironment/run.shReady to rerunThe principles behind every product decision we make.
A result you cannot reproduce is not finished. Every result traces back to a numbered Save.
You can read how it works: the generated Python, the methods and the source-available engine underneath.
Work leaves our tools in standard formats and readable code. No lock-in.
We say what is available, what is in beta and what is still on the roadmap. You should know what you can rely on.
Built for people who spend their days designing studies, working with data and explaining what it means.
Tools for the people who run surveys and quantitative research: research and insights agencies, in-house CX, UX and insights teams, and academic researchers.
A survey platform with analysis built in. Researchers design the questionnaire, run fieldwork, analyze the data and publish reports in one workspace, and every Save generates readable Python.
Research-as-code for surveys, in Python, and the engine Studio runs on. Read, run and extend its survey logic and analysis primitives.
Tamarin: reversible KV-cache compression for LLM inference. A 12-28x smaller GPU KV cache with under 0.5% perplexity overhead. Apache-2.0, in beta.
Tamarin on GitHubA small, remote-first team building software for researchers.
Founder & CEO
Kirill brings extensive operational expertise combining private consulting, enterprise, STEM research, and AI-native product development projects.
LinkedIn
Co-Founder & CTO
Alikhan bridges computational social science, quantitative methodology, and product development to translate research workflows into practical software, building tools that address the everyday needs of sociologists and market researchers.
LinkedInWe are building the tools research deserves. If that resonates, as a researcher, an agency or a partner, we would like to hear from you. Email is the fastest way to reach the team.
Partnerships, licensing and everything else.
Technical help with Siamang Studio.
Company updates and news.
The siamang engine and Tamarin.
Registered in Sheridan, Wyoming, USA. Founded in 2026, remote-first.
30 N Gould St, Ste N