Which Bajpai Labs products are available now?

Vivik (voice AI) and Predicta (predictive intelligence) are production-ready flagship products with the fastest path to deployment. Nexus-V, Sentinel, Quantum Bridge, 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, an AI engineering and research lab that builds autonomous agents, workflow automation, voice AI, enterprise AI platforms, and quantum-classical systems. The company operates as a boutique consultancy plus a portfolio of flagship software products, led by founder Krishna Bajpai.

Bajpai Labs · Flagship catalog

Nine systems. Two deployment tiers.

Vivik and Predicta ship production-ready. Seven 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

Vivik and Predicta are our most-deployed flagships, 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

Available for pilot engagements

Research-grade systems through scoped pilots

Research-grade systems delivered through boutique pilots, scoped 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

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

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