AI systems
From AI idea to working workflow.
Use AI where it creates leverage: agentic workflows, retrieval systems, automation, evaluation harnesses, model selection, product integration, and responsible rollout plans.
AI, blockchain, and engineering consultancy
Lampost works with founders, product teams, and operators who need senior technical judgment, fast prototypes, security-aware architecture, and contract delivery that survives contact with production.
We help you identify what is worth building, prove it quickly, and turn the winning path into reliable software. You can bring us in for a focused advisory sprint, a prototype, an audit, or a delivery pod on freelance or contract terms.
What we can own
AI systems
Use AI where it creates leverage: agentic workflows, retrieval systems, automation, evaluation harnesses, model selection, product integration, and responsible rollout plans.
Blockchain systems
We can support smart contract architecture, token mechanics, wallet flows, protocol integrations, backend services, risk reviews, and practical launch planning.
Engineering delivery
Architecture, APIs, backend systems, cloud workflows, data pipelines, DevOps, observability, integrations, testing strategy, and technical due diligence.
How we help
The best time to involve Lampost is when the problem is important, the path is unclear, and the cost of a weak technical decision is high.
Clarify feasibility, tradeoffs, risk, cost, and the smallest useful version of the product.
Move from idea to demo with real workflows, sensible architecture, and a plan for production hardening.
Untangle unclear scope, brittle systems, AI hallucination loops, integration trouble, and delivery drift.
Give founders, operators, and investors clear technical narratives, documentation, and decision logs.
Why customers can trust Lampost
Every engagement is designed to make the work visible. You get clear scope, direct communication, weekly progress, demos, tradeoff notes, and technical artifacts your team can keep using after the contract ends.
Engagement builder
A good first engagement should be narrow enough to finish and useful enough to change a decision.
AI product sprint
We map the user workflow, identify the right model pattern, build a working prototype, add an evaluation loop, and leave you with a rollout plan your team can trust.
Simple onboarding
Share the problem, timeline, and what success would mean. A rough brief is enough.
We identify the riskiest assumptions, likely scope, and best first engagement model.
Advisory, prototype, audit, or delivery work begins with crisp outputs and weekly visibility.
Raise a query
Send a concise project note and we will respond with the next practical step. Prefer direct email? nidhisinghattri@gmail.com