Which Bajpai Labs products are available now?

Production-ready: Vivik (voice AI), Predicta (predictive intelligence), HelixForge (computational drug discovery), TargetIQ (target discovery), GeneForge (CRISPR and gene therapy), ProteinForge (antibody design), Quantum Bridge (post-quantum security), and ClinicalSim (clinical trial simulation). Nexus-V, Sentinel, Edge-Sync, Synth-Data, HyperFabric, and Protocol-X are available through scoped pilot engagements — contact hello@bajpailabs.com for fit, timeline, and integration scope. Catalog: https://bajpailabs.com/products

How do Bajpai Labs flagship products integrate with enterprise stacks?

Products are designed for CRM-native execution, REST/event APIs, and common enterprise platforms (e.g. Salesforce, HubSpot, Zendesk, ServiceNow). Integration surfaces vary by product; each product page documents connectors and deployment models.

Bajpai Labs is the trade name of Bajpai & Co. Research Private Limited, a deep tech research lab advancing three frontiers — quantum computing, artificial intelligence, and precision biotech. The company delivers a precision biotech stack (TargetIQ, HelixForge, GeneForge, ProteinForge, ClinicalSim) plus flagship AI and quantum systems (Vivik, Predicta, Quantum Bridge, and six additional systems) and senior-led custom engineering, led by founder Krishna Bajpai.

Bajpai Labs · Flagship catalog

Fourteen systems. Two deployment tiers.

Eight production-ready platforms — including the full precision biotech stack from TargetIQ through ClinicalSim. Six research-grade lines deploy through scoped pilot engagements, the same senior team behind every catalog entry.

Production-ready

Built to ship, not to stall in pilot purgatory

Eight production-ready flagships across voice AI, forecasting, drug discovery, target ID, gene editing, biologics, post-quantum security, and clinical simulation — typical pilot timeline 2–4 weeks, production cutover 4–8 weeks.

Production-ready

Vivik

Execution-grade conversational AI

40% call volume reduction

Human-grade conversational interfaces with sub-500ms latency that take real actions in your systems

Sub-500ms latency conversational processing
Advanced Natural Language Understanding
Emotional Intelligence & Sentiment Analysis

Explore Vivik

Production-ready

Predicta

Predictive models that see through the noise

85% forecast accuracy

Predictive models that see through the noise - specialized for high-frequency data, supply chain volatility, and financial risk

Real-time predictive analytics
Supply chain anomaly detection
Financial risk modeling

Explore Predicta

Production-ready

HelixForge

AI-powered drug discovery — target to lead in 2–4 weeks

80–90% in vitro confirmation rate

Replaces costly wet-lab high-throughput screening with an in-silico AI pipeline that delivers ranked drug candidates in 2–4 weeks, at 80–90% in vitro confirmation rates.

GNN-powered virtual screening across millions of compounds
Molecular docking via AutoDock Vina and DiffDock
MD simulation via GROMACS and OpenMM

Explore HelixForge

Production-ready

TargetIQ

AI disease target discovery — ranked targets before chemistry

75–90% Priority A targets supported by independent evidence

Replaces months of internal bioinformatics with multi-omics AI that delivers 8–15 druggable targets with portfolio-ready evidence dossiers in 2–4 weeks — before a single screen runs.

Knowledge-graph GNNs over gene–pathway–disease networks
Multi-omics integration (GWAS, scRNA-seq, proteomics, eQTL)
Druggability scoring (structural tractability, modality fit, AlphaFold pockets)

Explore TargetIQ

Production-ready

GeneForge

CRISPR guide design and genomic optimisation in days

85–95% wet-lab confirmation for top-ranked guides

Replaces manual guide design and slow CRO workflows with genome-wide screening that surfaces your best guide RNAs and codon-optimized constructs before a single synthesis order.

Genome-wide guide screening (DeepCRISPR ensemble, 500K+ variants)
Off-target prediction (Cas-OFFinder, CHANGE-seq, pathogenic loci exclusion)
Base editor optimisation (ABE/CBE, bystander edit prediction)

Explore GeneForge

Production-ready

ProteinForge

AI antibody and protein design — antigen to ranked biologics in 2–4 weeks

70–85% cost reduction vs phage display

Replaces $500K–$900K phage display campaigns with an AI pipeline that surfaces your best 50–500 biologics before a single CHO run.

Protein language models (ESM-2, ESMFold)
AlphaFold-Multimer antibody–antigen interface prediction
Inverse folding and CDR design

Explore ProteinForge

Production-ready

ClinicalSim

Drug outcome simulation — predict trial outcomes before Phase II

73–93% concordance with observed clinical outcomes

Simulates PK/PD exposure, toxicity risk, and trial success probability so your team commits capital to the right dose and design — not a coin flip.

Population PK/PD modelling (NONMEM, Monolix)
PBPK and organ exposure simulation
Toxicity and DILI prediction (DILIrank, mechanistic tox)

Explore ClinicalSim

Production-ready

Quantum Bridge

Post-quantum cryptography without waiting for a crisis

PQC-aligned data protection

A security layer that migrates corporate data and keys toward post-quantum algorithms now, defending against harvest-now, decrypt-later exposure before adversaries catch up.

Crypto-agile envelope for phased PQC cutovers
Harvest-now / decrypt-later threat modeling
HSM and KMS integration patterns

Explore Quantum Bridge

Available for pilot engagements

Research-grade systems through scoped pilots

Research-grade systems delivered through scoped deep tech engagements, structured timelines and integration via the Lab Engagement Model.

See the Lab Engagement Model

Pilot available

Nexus-V

Sub-millisecond AI interconnectivity, out of the box.

Sub-millisecond-class interconnectivity (production deployments)

Industrial gateway middleware between your legacy estate and model hosts, sub-millisecond-class AI interconnectivity ready on install, without a rip-and-replace program.

Sub-millisecond AI interconnectivity, out of the box, production-hardened defaults
Drop-in middleware between legacy services and model runtimes
Serialization and queue-depth controls tuned for your stack

Explore Nexus-V

Pilot available

Sentinel

Risk and market intelligence for volatile regimes

Stress-tested scenario coverage

Predictive analytics built for high-volatility environments, finance, energy, and supply chain, so leadership sees regime shifts before models trained on calm data break.

Regime-aware forecasting for turbulent markets
Tail-risk monitors with escalation hooks
Custom proprietary signals per client industry

Explore Sentinel

Pilot available

Edge-Sync

Distributed inference for cheap edge hardware

Up to ~70% cloud inference cost reduction

A framework that pushes heavy model execution to cameras, gateways, and plant-floor devices, cutting cloud spend dramatically while keeping quality where the data originates.

Model partitioning across edge + cloud lanes
Quantization and adaptive precision schedules
Federated update channels for device fleets

Explore Edge-Sync

Pilot available

Synth-Data

High-fidelity synthetic data for regulated training

Privacy-safe dataset scale

Generate statistically faithful datasets when real records are scarce, toxic to move, or blocked by GDPR-class obligations, so teams train models without touching raw PII.

Differential privacy and cohort controls
Domain-specific generators (tabular, text, sensor)
Constraint engines for business-rule fidelity

Explore Synth-Data

Pilot available

HyperFabric

A digital superhighway for your AI stack, unifying cloud, on-prem, and edge, out of the box.

Material reduction in cross-estate AI latency

High-performance communication fabric for hybrid AI: one layer that connects disparate compute so insights and model I/O stop dying in data silos, shrinking wall-clock latency across your whole estate.

Unified high-throughput plane across cloud, on-prem, and edge
Digital superhighway semantics: fewer hops, predictable QoS for AI traffic
Breaks data-silo friction without forklift replacing existing stacks

Explore HyperFabric

Pilot available

Protocol-X

Automated translation and enforcement for AI regulations, EU AI Act, SEC, DSA, and more, out of the box.

Sub-second regulatory guardrails at inference time

Protocol-X watches every AI-originated decision and intercepts actions that would breach policy, translating statutes and internal rulebooks into machine-enforceable guards at runtime, not months later in counsel review.

Policy packs for EU AI Act, SEC reporting hooks, Digital Services Act patterns
Real-time interception of AI actions before they hit regulated surfaces
Translation engine from legal language to enforceable runtime checks

Explore Protocol-X

Product fit

Not sure which flagship anchors your program?

We map your operating picture against the catalog, production-ready when the fit is clear, scoped pilot when the research line needs adaptation. Same senior team either way.

Request product evaluation Lab Engagement Model