• Powered by nature.
    Our database includes sequences from unculturable and extremophile microbes that cannot be found anywhere else.
  • Open-ended possibilities.
    56% of database samples come from natural sources with extensive ownability and patentability. 
  • One-stop-shop for sequences, enzymes and strains.
    Identify and enhance your sequences with a single, knowledgeable partner. 

bit-MAP

Sequence

Where genomic intelligence begins

bit-MAP is the data engine behind bitBiome’s AI-first platform—capturing microbial genomes at single-cell resolution to generate the highest-quality training data in the world.

Unlike conventional sequencing methods that produce fragmented, population-averaged signals, bit-MAP reconstructs complete, individual genomes with full biological context. This enables a fundamentally different dataset class, one designed not just for observation, but for prediction.

By preserving strain-level variation, genomic architecture, and functional linkage, bit-MAP creates the high genomic IQ data foundation required to train next-generation biological AI models.

KEY FEATURES

  • Single-cell, whole-genome sequencing for true biological resolution
  • High-context genomic data optimized for machine learning
  • Captures unculturable and rare microbes missed by traditional methods
  • Links genes, function, and phylogeny within individual organisms
  • Enables AI-ready datasets with strain-level precision

bit-GEM

Catalog

The world’s highest genomic IQ dataset

bit-GEM is not just a database—it’s a biological intelligence system.

Built on bit-MAP’s single-cell sequencing, bit-GEM contains billions of high-context genomic sequences structured to maximize learnability by AI models. Unlike public databases filled with fragmented or redundant data, bit-GEM prioritizes completeness, diversity, and functional coherence—the key ingredients of high genomic IQ.

This enables AI systems to move beyond pattern matching and toward true biological reasoning, uncovering novel enzymes, pathways, and design rules that do not exist in nature—or in any other dataset.

KEY FEATURES

  • 3B+ proprietary sequences structured for AI learning
  • High genomic context via long contigs and full genomes
  • ~50% taxonomic novelty vs public databases
  • Continuous expansion (~1B sequences/year) improves model performance
  • Rich functional and environmental diversity for broader predictive power
  • Source of novel, patentable biological assets

bit-EVO

Edit

From prediction to precision biology

bit-EVO translates biological intelligence into real-world performance—using AI to design, optimize, and validate enzymes and strains with unprecedented speed and accuracy.

Powered by bit-GEM’s high genomic IQ dataset and advanced machine learning models, the platform predicts functional outcomes before they are tested—dramatically reducing experimental burden. Each design-build-test cycle feeds back into the system, continuously improving predictive accuracy.

Rather than relying solely on rational design or random screening, bitBiome operates in a new paradigm: AI-guided exploration of biological possibility space.

KEY FEATURES

  • AI-driven enzyme and pathway prediction using sequence + structure models
  • Genome-scale exploration beyond known biology
  • Iterative learning loops combining in silico + wet lab validation
  • Multiplexed, high-throughput genome editing for system-level optimization
  • 75% reduction in time and cost to enzyme/strain development
  • Rapid convergence on commercially viable designs

SENS-AI

PREDICT

Turning biological signals into actionable predictions

SENS-AI is the interface between biological intelligence and real-world decision-making.

While GEM-AI, our LLM, learns the rules of biology, SENS-AI applies them, translating complex genomic, enzymatic, and experimental data into clear, actionable predictions.

It functions as a domain-specific “BioGPT,” enabling scientists to query, simulate, and predict biological outcomes in real time. Whether identifying optimal enzyme candidates, forecasting strain performance, or diagnosing experimental bottlenecks, SENS-AI brings AI-driven reasoning directly into the R&D workflow.

KEY FEATURES