All-in-one platform
Data, models, simulation and reporting all live together, so every part of the work stays connected and nothing is lost between tools.
AI engineering for science and technology
Lavaka builds platforms for scientific research and engineering by embedding intelligence into the codebase itself, so that scientists and engineers who use them can see what their data is saying and act on it with confidence.
Approach
At Lavaka, AI stands for Acquired Intelligence.
Lavaka builds all-in-one platforms for science and engineering. Each platform brings data, tools, models, simulations and pipelines together to carry out the work reliably, end to end.
We start with real problems in scientific data analysis and build platforms to solve them, with the help of frontier AI models. Over time, guided by users' feedback, we embed that intelligence into our codebase itself, so that you can analyse your data with confidence.
Data, models, simulation and reporting all live together, so every part of the work stays connected and nothing is lost between tools.
Results are tested for reproducibility, and errors can be traced. You can see the evidence behind each answer and depend on it in real work.
We study the problem before we write any code, then engineer every part of the platform to solve it.
Platforms
Lavaka is building a suite of professional applications for science and engineering, all running on one shared core. Each application works end to end: raw data goes in, and analysed, decision-ready results come out.
Outlier rules, transforms, model choices and checks sit on one panel. Change any of them and see what it does to your result, straight away.
Each stage hands its work to the next on its own. Nothing is exported, nothing is retyped, nothing is lost on the way.
You set the direction. The platform does the heavy lifting, stage after stage, until the answer is drawn for you.
Choose a setting that doesn't suit your data, and the platform flags it, explains why and suggests the fix. Shown here on a response surface study.
Try every route, from regression to simulation to machine learning, and compare where each one leads before you commit.
From data file to finished report: load your trial data, choose an analysis, run it, then plot and report, all in one place.
Crop, soil and climate intelligence for agronomists and agricultural researchers. Analyse field trials, compare lines and traits, and catch crop stress before it spreads.
Models for proteins, pathways and assays that help labs choose the next experiment and read their results faster. For genetic engineering: design constructs and CRISPR guides, and predict on- and off-target edits.
Population and phylogenetic analysis at genome scale. Trace ancestry, selection and adaptation across species and generations.
Vision models for field, microscope and lab images. Spot disease symptoms on leaves and fruit before they spread, count and measure seeds and cells, and track change over time.
Perception, planning and control for robots and smarter machines in laboratories, farms and factories.
AI-assisted design of laboratory equipment, sensors and electronic circuits, from schematic to calibrated instrument.
Frontier
Research is moving towards a loop where hypotheses, experiments and designs are proposed, simulated and tested in software before they reach the field or the bench. These are the ideas Lavaka is building towards.
You plan the experiments. AI runs the instruments, reads the results and sharpens the next hypothesis.
Models of a field, a cell culture or a bridge that update as new data arrives, so you can test a decision before you make it.
Circuits, sensors and lab equipment drafted with AI and checked against physics before anything is fabricated.
Models trained across sequences, spectra, images and simulations that carry what they learn from one field into another.
Every recommendation shows its evidence, assumptions and uncertainty, so experts can check the reasoning.
The same intelligence runs on a phone in the field, beside an instrument at the bench, or on a cluster in the cloud.
Support us
Lavaka is a young startup, funded entirely by our own savings. With that alone, we have built our first platform, SAMAR, using frontier AI models and learned, first-hand, what works and what does not.
The ideas, the methods and the drive are in place. The one thing standing between us and taking our platforms into every field of science and engineering is capital.
So we are inviting universities and research institutes to back us. In return, your researchers can get our platforms to pursue the goals that matter to them.
Your support funds new platforms and takes them into new fields of science and engineering.
Use them for the research you choose, on your own data, from the first experiment to the final paper.
Pipelines, models and maintenance are ours, so your teams can stay on the science.
Contact
Research groups, laboratories and engineering teams can use our platforms for their own work. Tell us what you are working on, and we'll show you which platform fits it.