Algomise is an AI company that builds, deploys, and operates GenAI and Agentic AI systems — for our own products and for businesses ready to move past the prototype.
Algomise Technologies is an AI company headquartered in New Delhi, built for the production era of AI. We work in two modes — and we hold both to the same engineering bar. We build our own products. And we build AI for other companies — startups launching their first defensible AI feature, and enterprises taking stalled pilots into production.
Model-agnostic and cloud-agnostic by design — the right architecture depends on your data, risk profile, and latency budget, not a vendor preference.
Most AI consultancies have never shipped a production AI product. We do — for our own users first. Everything we learn about reliability, cost, latency, and governance flows back into the systems we build for clients.
Our flagship B2C AI product, built for everyday users — currently onboarding early-access participants from India and beyond. Coinjeeto is our proof that the same team that ships for clients ships for real users, at real scale.
A framework for routing, evaluating, and governing multi-agent workflows — bounded autonomy with full observability and audit trails.
Evaluation and monitoring for AI in production. Drift detection, cost tracking, and quality scoring from prompt to output.
An opinionated platform for enterprise teams to build, deploy, and govern AI internally — without rebuilding the plumbing each time.
A toolkit for vertical SaaS teams to fine-tune, retrieve, and serve domain-specific models without an ML team.
Six service lines, one promise: every engagement is scoped to deliver a measurable business outcome — not a deliverable that sits in a deck.
Boards are asking for ROI; most AI roadmaps are vibes in a spreadsheet. We deliver readiness audits, use-case prioritization tied to P&L, build-vs-buy calls, and a 90-day roadmap your CFO will sign.
Your GenAI demo wowed leadership, then broke in production. We build assistants, copilots, and document AI with RAG, evals, and cost controls that survive a CFO review — and a real user.
Agents are 2026's headline — and its biggest hype trap. We build bounded-autonomy agents with policy engines, human-in-the-loop checkpoints, and audit trails. Service deflection, SDR, finance & ops.
AI is only as smart as the data you feed it — and most data isn't ready. Lakehouses, real-time streaming, semantic layers, and RAG-ready knowledge bases. The boring work that makes AI work.
Pilots fail because nobody planned for monitoring, drift, cost, or rollback. Cloud-native deployment, CI/CD for models and prompts, eval pipelines, observability, and incident playbooks.
AI features alone don't make a product. End-to-end engineering for AI-native SaaS — frontend, APIs, identity, billing, infra, and the AI layer, in one team.
The hard part of AI isn't the demo — it's everything after. We bring evaluation, observability, governance, and rollback to every system, from day one.
Coinjeeto is real. We know what it costs to keep an AI product up, accurate, and economic. That experience flows into every client engagement.
Not married to one model, one vendor, or one cloud. We pick what fits the workload — and we treat your token budget like our own.
Security, data residency, explainability, and audit trails are designed in from sprint one — aligned with ISO 42001 and the EU AI Act direction.
Predictable cadence, production outcomes. No proposal-as-novel — a single page that says what we're building, why, and how we'll measure it.
Week 1–2. Map the business outcome, audit data readiness, score the use case for risk and ROI, and write the spec the engagement is built on.
Week 2–4. Architecture, model selection, eval harness, cost model, governance plan — and a prototype running on your data.
Week 4–12. Production build with CI/CD, evals in the loop, observability from day one, human-in-the-loop where risk demands. We commit to a date.
Ongoing. Cost tuning, model swaps, drift monitoring, and a quarterly review tied to the metrics we set in Discover. AI is an operating discipline.
You're betting on an AI feature and can't afford to get it wrong twice. We design, ship, and operate the AI capability your roadmap depends on — typically in 8–14 weeks. Fixed-scope sprints, fractional CTO-style engagement, optional run-it-for-you after launch.
Your pilots work in the lab — production is the problem. We work alongside your AI, data, and digital teams to take stalled GenAI and agentic pilots into production with the governance, security, and integration the pilot skipped. We integrate with your platforms, not around them.
Financial services · Retail & e-commerce · Healthcare · SaaS & technology · Manufacturing · Logistics · EdTech · Public sector
Tell us the outcome you're trying to deliver. We'll come back within one business day with whether we're the right team — and what a first engagement could look like.