12 years of shipping software across 30+ countries, now applied to AI. We don't bolt a chatbot onto your product — we engineer AI as a core product capability that ships, scales, and holds up under real usage.
From proof-of-concept to production, every AI feature we ship includes evaluation, monitoring, and a fallback plan for when the model gets it wrong.
Noida-based team across LLM engineering, computer vision, MLOps, data engineering, and full-stack product development. No outsourcing. No freelancers.
Agile 2-week sprints with a working demo from sprint one. You see the model behaving on real data early, not just a slide deck.
Data privacy, prompt-injection defence, hallucination monitoring, and bias testing are built into every AI feature — not an afterthought before launch.
Scope-locked milestone contracts, including model API/compute cost estimates upfront — no surprise inference bills after launch.
Model drift monitoring, accuracy tracking, and scheduled retraining so your AI product keeps improving instead of quietly degrading.
From strategy and data readiness through model integration, evaluation, and production deployment.
GPT-4/Claude-powered chatbots, copilots, content generation, and document Q&A built on your own data.
Retrieval-augmented generation over your documents, wikis, and databases with cited, relevance-ranked answers.
Autonomous agents that plan, call tools, query databases, and execute multi-step workflows end to end.
Object detection, OCR, defect inspection, face verification, and visual search built for real-world image quality.
Churn prediction, demand forecasting, credit/risk scoring, and anomaly detection models tied to business KPIs.
Speech-to-text, voice assistants, and IVR automation with regional Indian language support.
Data pipelines, feature stores, model versioning, CI/CD for ML, and monitoring so models keep working after launch.
Transaction-pattern models, device fingerprinting, and real-time risk scoring for fintech and e-commerce.
A 2–4 week paid sprint to validate feasibility and accuracy on your real data before committing to full build.
Algosoft's AI engineers build with OpenAI GPT-4, Anthropic Claude, and open-source LLMs (Llama, Mistral) via LangChain and LlamaIndex, with retrieval-augmented generation grounding answers in your actual documents and databases — not just the model's training data.
Every LLM feature ships with prompt-injection defences, output guardrails, hallucination monitoring, and cost controls on token usage — so it's safe to put in front of real customers, not just a demo.
Beyond chat — agents that plan multi-step tasks, call your internal APIs and tools, and complete real business workflows.
Agents that break a goal into steps, call tools/APIs in sequence, and recover from failures without human intervention.
Agents wired into your CRM, ERP, ticketing, and internal databases so actions actually happen, not just get suggested.
Approval gates on high-risk actions, full audit trails, and rollback options so autonomy doesn't mean uncontrolled.
Tell us the problem you want AI to solve and the data you have. We'll assess feasibility and deliver a cost estimate and architecture — completely free.
Start Your AI Project →A transparent process built around proving the model works before you commit to full production spend.
Problem definition, success metrics, data quality audit, and model feasibility assessment before committing to full build.
A working model or prototype tested against your real data, with accuracy/quality benchmarks reviewed with you before scaling further.
Full application built around the model — UI, backend, data pipelines, and integrations — in 2-week sprints with regular demos.
Model evaluation against held-out data, hallucination/bias testing, load testing, and red-teaming for prompt-injection and abuse cases.
Production deployment with monitoring dashboards for accuracy, latency, and cost, plus a documented fallback path for model failures.
Model drift monitoring, scheduled retraining on new data, and cost optimisation as usage scales.
Transparent pricing — no hidden charges. All tiers include design, development, evaluation, and launch support.
| AI Product Type / Feature | AI POC ₹3L–7L · $4K–$8K |
AI Product ₹10L–25L · $12K–$30K |
Enterprise AI ₹30L+ · $36K+ |
|---|---|---|---|
| Scope | Single use-case validation | Production-ready feature | Multi-model, multi-team platform |
| Model Approach | Off-the-shelf API (GPT-4/Claude) | Fine-tuned / RAG-grounded | Custom-trained + fine-tuned ensemble |
| Data Pipeline | Manual data prep | Automated ingestion pipeline | Real-time streaming pipeline |
| Evaluation | Manual spot-checks | Automated eval suite | Continuous evaluation + A/B testing |
| Guardrails | Basic content filtering | Prompt-injection + bias testing | Full red-teaming + compliance audit |
| Deployment | Shared cloud endpoint | Dedicated cloud infrastructure | Private cloud / on-prem option |
| Delivery Timeline | 2–4 weeks | 10–14 weeks | 16–28 weeks |
| Total Investment | ₹3L–7L$4,000–$8,000 | ₹10L–25L$12,000–$30,000 | ₹30L+$36,000+ |
*Pricing varies with model choice, data readiness, and compliance requirements. Get a fixed-price quote within 48 hours — free.
Walk-in meetings, same-timezone communication, and face-to-face sprint reviews. No international timezone confusion, no delayed responses.
Hindi/regional language models, Indian document formats (Aadhaar, PAN, GST), and data-residency-aware architecture for regulated industries.
NASSCOM membership, ISO 27001 information security certification, and CMMi Level 3 process maturity. Audit-ready documentation, NDA from day one.
Every engagement starts with a paid POC sprint on your real data — so you know the model actually works before signing off on the full build.
If AI is one piece of a larger product, these connected services cover the rest of the stack.
Whether you're validating your first AI feature or scaling an enterprise AI platform, Algosoft brings one accountable team across AI/ML, backend, and product engineering — all under one roof in Noida.
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