Boutique consulting · Flagship AI products
Boutique AI and Quantum for High‑Stakes Operations
We're a senior-led consultancy first, pressure-testing strategy, architecture, and delivery. Flagship products like Vivik and Predicta accelerate proven paths; custom engineering covers the rest.
Delivery stack
- Consulting-firstStrategy, architecture, delivery governance
- Flagship acceleratorsVivik voice · Predicta forecasting
- Research & custom forgeQuantum readiness · bespoke engineering
Target on contact-center pilots
Representative production datasets
Selection · Adaptation · Evolution
Representative benchmarks from pilot deployments. See the research hub or request methodology under NDA. Research hub
Research-driven architecture
Frontier research translates to production advantage.
We publish on quantum-classical optimization, post-quantum security, and AI infrastructure, then ship the same rigor into flagship products and client deployments.
Quantum computing & cryptographic readiness
Post-quantum security
NIST PQC standards (FIPS 203/204/205), harvest-now-decrypt-later risk, and CNSA 2.0 migration planning, delivered through Quantum Bridge and assessment-led consulting.
- Cryptographic inventory & HNDL risk assessment
- PQC migration roadmaps aligned to CNSA 2.0
- Quantum Bridge orchestration for phased cutovers
Google Scholar · AI systems & biosciences
26+ lab research publications
Krishna Bajpai publishes on quantitative finance, edge AI, and swarm optimization. Dr. Mamta Shukla contributes 17+ peer-reviewed biosciences papers with 353+ citations, together 355+ citations across the lab.
- Krishna: preprints, SSRN & working papers on AI systems
- Dr. Mamta: phytochemistry, pharmacology & biosciences
- Open-source components across ML and infrastructure
HyperFabric · Nexus-V · Protocol-X
AI infrastructure & optimization
HyperFabric interconnect research, sub-millisecond-class data movement, and Protocol-X governance for EU AI Act and cryptographic compliance at inference time.
- HyperFabric: data-movement bottleneck elimination
- HyQCOpt hybrid quantum-classical search
- Protocol-X: runtime policy intercept & audit trails
What brings you here?
Choose your starting point.
Operations, research, or security, three paths into the lab.
Operations leaders
Reduce AI cost & execution risk
Flagship products, Lab Engagement Model, and production cutovers for hospitality, healthcare, logistics, and shared services.
View flagship productsCTOs & innovation
Research-driven architecture
Hybrid AI, quantum optimization, federated learning, and benchmarks, published research translated into production systems.
Explore researchQuantum & security
Post-quantum readiness
Cryptographic assessments, PQC migration roadmaps, and Protocol-X governance for CNSA 2.0 and EU AI Act timelines.
Quantum readinessFlagship products
Built to ship, not to pilot.
Vivik and Predicta are our most-deployed flagships, typical pilot timeline 2–4 weeks, production cutover 4–8 weeks.
Vivik
Execution-grade conversational AI
40% call volume reduction
Human-grade conversational interfaces with sub-500ms latency that take real actions in your systems
Visit product sitePredicta
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
Visit product siteResearch-grade systems delivered through boutique pilots, scoped timelines and integration via the Lab Engagement Model.
View all flagship productsBoutique consulting
Senior-led work when theSKU doesn't exist yet.
We are a consultancy first. Flagship products accelerate proven paths; these three practices cover extension, architecture, and net-new builds, each owned by the same senior team that ships production systems.
View consulting services- 01
Product-Accelerated Model
Deploy in weeks, not monthsWeeks-to-production on flagship cores you already trust in the field.
See capabilities - 02
Architectural Advisory
The 'Brain' for your infrastructureExecutive alignment, compliance posture, and integration blueprints before build burn.
See capabilities - 03
Custom Forge
Build a product for your nicheNet-new engineering when the catalog stops short, same production bar, your niche.
See capabilities
Our approach
Boutique delivery with flagship foundations.
Executive-grade consulting when you need judgment. Ready-made products when they fit. Custom engineering when they must. One accountable path, not another roadmap that stalls at slide twelve.
Boutique execution
Senior ownership. One accountable path from strategy to production.
Fragmented vendors
Multiple agencies, shelfware handoffs, and roadmaps that never reach production.
Selection
Anchor on the right flagship foundation before build burn.
Adaptation
Re-architect for your stack, SLAs, and compliance reality.
Evolution
Research-as-a-service so deployments stay current after go-live.
The Lab Engagement Model ties selection, adaptation, and evolution into one delivery path. Senior ownership from scoping through cutover.
Explore our approachHow we work
Strategy-led delivery.Products when they fit; custom when they must.
Bajpai Labs is a boutique practice: senior attention, tight scopes, and ownership of the stack we ship, from discovery through production.
Executive alignment
We pressure-test the real constraints: volume, compliance, systems, and what “good” looks like on paper versus in production.
Architecture & plan
You get a delivery blueprint, flagship product fit, custom integration, timelines, and exit criteria, not a generic AI roadmap.
Pilot to scale
Small surface area first, measurable outcomes, then harden for scale. We stay engaged until the metric moves, not until the deck ships.
Flagship products
When your problem matches something we already hardened in production, we deploy Vivik or Predicta with minimal invention risk. When it does not, we design and build with the same engineering bar.
Strategic session
Start with a pressure-test, not a slide deck.
A 60-minute working session: we map where AI strategy, flagship products, or a custom build will move the needle fastest, and what to ignore. Most teams start with a diagnostic before a full engagement.