AI consulting & development.
The team that builds our products takes on a small number of client projects each year: strategy, prototypes, and production systems. Everything we recommend is something we already run ourselves.
Six ways we work with teams.
Every engagement draws on something already running live across our own portfolio.
AI Strategy & Consulting
Find the AI opportunities that actually pay back, and skip the ones that will not.
We assess your workflows, data and constraints, score use cases by ROI and feasibility, and hand you a pragmatic roadmap: what to build, what to buy, what to ignore, and in what order.
- Opportunity assessment & use-case scoring
- Feasibility validation on your real data
- Build-vs-buy recommendations
- Governance & responsible-AI guardrails
Custom AI Product Development
End-to-end design and delivery of AI products, from first prototype to launch.
The same playbook we use for our own portfolio: product design, model selection, evaluation harnesses, scalable backends and polished frontends. You get a production system with monitoring and documentation, not a demo that dies in a notebook.
- Product & UX design for AI experiences
- Model selection, fine-tuning & evals
- Full-stack engineering & APIs
- Launch, monitoring & iteration
Agents & Workflow Automation
Autonomous agents that run real business workflows, with audit trails and human control.
We build multi-step agents that plan, act and report, like the hiring pipeline in CareerUplift Recruiter and the research agent in ClauseLex. Screening, research, monitoring, drafting: automated end to end, explainable at every step.
- Agent architecture & orchestration
- Tool integrations with your systems
- Human-in-the-loop controls & audit logs
- Guardrails, evals & failure handling
LLM Integration & RAG
Grounded AI over your data: verified answers and citations, not hallucinations.
ClauseLex answers legal questions over 17.8 million judgments without inventing citations, because grounding is enforced in code. We bring the same discipline to your knowledge base: retrieval pipelines, citation verification, evaluation suites and cost-tuned model routing.
- RAG architecture over your documents
- Citation verification & grounding reports
- Evaluation harnesses & quality gates
- Cost, latency & model-routing tuning
Computer Vision & Voice
Real-time video and audio understanding, deployed in demanding environments.
KrasCheck analyzes live video for face count, head pose, gaze and unauthorized objects; CareerUplift runs voice interviews at scale. We build detection, tracking and speech systems tuned to your accuracy, latency and privacy requirements.
- Detection, tracking & pose estimation
- Speech-to-text & voice conversation flows
- Real-time streaming pipelines
- Edge & privacy-aware deployment
Data & Market Intelligence
Pipelines and KPI engines that turn raw data into decisions people act on.
QwikIQ refreshes ~32 KPIs through the day and pushes decisions to brand managers as alerts. We design the same for you: ingestion, KPI modeling, anomaly detection and alerting that reaches people where they work.
- Data pipelines & warehouse modeling
- KPI engines & anomaly detection
- Dashboards & alerting (Slack, email, push)
- Competitive & market monitoring
How we engage.
Structured so you see working software early, and never pay for open-ended exploration.
- 01
Discover
1-2 weeksA focused workshop to map workflows, data and constraints, and score use cases by ROI and feasibility.
- 02
Prototype
2-4 weeksA working proof of concept on your real data, with honest evaluation numbers, so you invest based on evidence.
- 03
Build
6-12 weeksProduction hardening: evals, security, observability, integrations and UX. The prototype becomes a system.
- 04
Deploy & support
OngoingLaunch with monitoring, cost controls and runbooks, then iterate on real usage for as long as you need us.
Our portfolio is our credentials: an autonomous hiring pipeline, legal research over 17.8 million judgments, market intelligence refreshed every day, real-time video proctoring.
See the products behind our servicesCommon questions
- How is Kras AI different from a typical AI consultancy?
- We operate six AI products: an autonomous hiring pipeline, grounded legal research over 17.8 million judgments, real-time commerce intelligence and more. Our advice comes from running these systems daily. When we estimate what something takes, it's because we've built it.
- How long does a typical AI project take?
- Discovery takes 1-2 weeks, a working prototype 2-4 weeks, and a production build typically 6-12 weeks depending on scope. Engagements are structured so you see working software early and invest incrementally.
- Which AI models and stacks do you work with?
- We're model-agnostic: frontier LLMs, open-weight models, and custom vision and speech models, chosen per use case for quality, cost, latency and data-residency requirements. Our stack spans modern web (Next.js, Node, Python), cloud infrastructure, and MLOps tooling for evals and monitoring.
- How do you handle our data and confidentiality?
- NDAs, data isolation, least-privilege access and deployment inside your cloud where required. We already run products with isolated-workspace guarantees and audit logging, and we bring the same standards to client work.
- Do you work with startups or only enterprises?
- Both. Startups typically engage us to build and deliver an AI product or feature fast; enterprises for automation, grounded knowledge systems and AI roadmaps. Engagements are scoped per project or as an ongoing partnership.
- What does an engagement cost?
- Discovery is fixed-price; prototypes and builds are scoped after discovery, so you're never paying for open-ended exploration. Contact us with your use case and we'll give you a straight answer on budget ranges.
Talk to us.
Tell us which product you want to see, or what you are trying to build. We read every message and reply within a business day.