Custom AI for your business — built to ship.
Agents, chatbots, LLM integration, RAG, voice AI, WhatsApp AI, AI automation. Production-grade AI built with Claude, GPT, and open models — not demos that break in week two.
Seven AI capabilities. One team.
Whether you need a specific AI feature inside an existing product or a full AI workflow built from scratch, we cover the stack.
Got an AI idea? Let's pressure-test it.
30-minute call with an AI engineer (not a salesperson). We'll tell you if it's a good fit, what it'd take, and what it'd cost.
Things you can actually do with AI.
Beyond the buzz — concrete AI applications we've built for businesses across sales, support, operations, finance, and product.
AI sales agents
Qualify, book, and follow up on leads automatically — 24/7.
AI customer support
Deflect 40–70% of repeat questions; humans handle the hard ones.
AI document processing
Invoices, contracts, forms, receipts — extract, classify, route.
AI invoice & expense automation
OCR + classification + GL coding + approval routing.
AI email triage
Sort, summarise, draft replies — your inbox becomes a queue, not a swamp.
AI meeting assistants
Schedule, take notes, generate summaries and action items.
AI lead qualification
Score and route inbound leads by fit and intent — automatically.
AI internal search
One search across all your tools — Slack, Drive, Confluence, CRM.
AI translation & content
Hindi, regional Indian languages, English — context-aware.
AI image & vision
Product photo tagging, defect detection, document scanning, OCR.
AI fraud & risk
Flag suspicious transactions, content, or behaviour patterns.
AI analytics & forecasting
Demand forecasting, churn prediction, anomaly detection.
AI content moderation
Real-time check on user-generated content, comments, reviews.
AI co-pilot for your team
Internal AI tools — draft proposals, summarise calls, search policies.
Don't see your use case? Tell us about it →
AI that works in production. Not slideware.
Most AI work in the market is demos. We've been shipping software since 2018 — we know what makes AI features last past launch week.
- Evals before deployWe measure accuracy on your specific data. AI changes can't quietly regress quality.
- Vendor-neutral architectureBuilt so you can swap models — Claude → GPT → open-source as the market evolves.
- Cost predictableToken + dollar metrics per request. No surprise bills.
- Production-grade plumbingRate limits, retries, observability, PII redaction, prompt-injection defences.
- We've shipped thisReal production AI work for accounting, retail, healthcare, support — not just internal demos.
AI questions, straight answers.
- Prototypes work in demos. Production AI needs evals, observability, cost control, prompt-injection defences, structured outputs, vendor abstraction, and a feedback loop. We build the production-grade plumbing around the AI so it doesn't quietly break, hallucinate, or rack up bills.
- Whichever fits the task and budget. We typically build vendor-neutral so you can swap. We use Claude (best at long-context reasoning + safety), GPT (broadest tooling), Gemini (best price/perf at scale for some workloads), and open-source (Llama, Mistral) when latency or cost demand it.
- A focused AI feature (chatbot, document extractor, internal search) ships in 4–8 weeks. A custom AI agent or RAG system with real evals is typically 8–14 weeks. AI co-pilots and voice AI systems are 10–16 weeks. We give a fixed-scope estimate after a 1-week discovery.
- Token cost is something we model from day one. Most production AI features cost a few cents per request. Where volume is high, we use cheaper models for first-pass, more expensive for hard cases. Caching, batching, and prompt optimisation typically save 40–70% off naive implementations.
- Yes. We use enterprise API endpoints (Anthropic, OpenAI, Azure OpenAI, Bedrock) that don't train on your data. Sensitive workflows run on private deployments. PII redaction, audit logs, and role-based access are built in. We've shipped AI into accounting, healthcare, and finance — we know the bar.
- Yes — that's most of the work. We don't need to rebuild your app. We integrate AI capabilities as features (extraction, classification, generation, chat) into what you already run, and ship them behind feature flags so you can roll them out safely.
We've prototyped with ChatGPT — what's different about working with you?
Which model do you use — Claude, GPT, or open-source?
How long does an AI project take to ship?
What about cost — won't the AI tokens get expensive?
Is our data safe? What about training on our data?
Can you add AI to existing software we already have?
Ready to build with AI?
Book a 30-minute call with an AI engineer. We'll tell you straight if it's a fit.