AI & Machine Learning Company in Hyderabad

We quote fixed fee, not open T and M, and scope each engagement rather than publishing bands. A scoped AI proof of concept is a six to ten week engagement covering data audit, a baseline model, and a hosted demo on AWS ap-south-2 or Azure Central India. A custom production ML system (fraud scoring, clinical trial analytics, document intelligence, predictive maintenance) adds MLOps, monitoring, and a DPDPA-aligned model card. Full production AI platforms layer on RAG, multiple models, fine-tuning, and enterprise integrations. Hyderabad sits slightly below Bengaluru thanks to lower attrition, but above Chandigarh and Pune because of the big-tech AI talent premium in HITEC City and Gachibowli. We quote fixed fee, not open T and M.

The Digital Personal Data Protection Act 2023 is now India’s baseline data law, and it directly shapes how AI systems collect, train, and infer on personal data. Our discovery phase classifies your build under DPDPA roles (data fiduciary, significant data fiduciary, data processor), confirms whether children’s data triggers heightened consent, and maps cross-border transfer scope against the central government’s notified country list. For significant data fiduciaries we add a Data Protection Officer interface, a Data Protection Impact Assessment, and periodic audit hooks. Training data is purged of personal data at ingestion when not strictly necessary, consent artefacts are stored against each data principal, and grievance redressal is wired into the product. Output documentation is the package your in-house counsel and the Data Protection Board of India both expect.

Yes, and for Telangana-headquartered clients it is often our default. AWS launched the Asia Pacific (Hyderabad) region (ap-south-2) in November 2022, with three Availability Zones and full support for Bedrock, SageMaker, S3, EKS, and the rest of the AI and ML stack. Telangana state government, BFSI clients who want Hyderabad-resident infrastructure, and pharma majors with site-specific data sovereignty obligations benefit most. For workloads where Mumbai (ap-south-1) is acceptable, we still default there for service breadth and lower egress to other regions. We document the residency choice in your model card and DPA so DPDPA, RBI, and IRDAI examiners get a clear answer.

Yes. Hyderabad is India’s pharma capital, and we have shipped AI pipelines for clinical trial analytics, adverse event signal detection, manufacturing computer vision (tablet defect, vial inspection, packaging integrity), genomic variant calling on Bharat Biotech and Dr Reddy’s peers’ platforms, and natural language processing on regulatory submissions. Builds run under GxP, CDSCO India, 21 CFR Part 11 (for US filings), and EU Annex 11 expectations, with computer system validation documentation that survives FDA, EMA, and CDSCO inspections. We coordinate with quality and regulatory teams from week one rather than retrofitting validation after the model ships. PHI and trial data stays in ap-south-2 or ap-south-1 unless a written cross-border approval exists.

When a project demands genuine research (novel computer vision architectures, rare-disease genomic models, Indic-language LLM pretraining, reinforcement learning at scale) we scope collaborations with IIIT-H’s Centre for Visual Information Technology (CVIT), IIT-Hyderabad’s AI and ML department, or the Indian Statistical Institute Hyderabad campus, rather than overselling internal capacity. Our core team handles applied engineering, MLOps, and productionisation, which is where most Hyderabad AI builds stall. For standard work (RAG, fine-tuning, classical ML, computer vision on known architectures, document intelligence) no academic partner is needed. We tell you which bucket fits in week one, and we have introduced Hyderabad clients to T-Hub and WE-Hub programs when their roadmap fits.

Telugu is the third most spoken language in India, and Hyderabad consumer products, government services, and banking call centres regularly need Telugu, Urdu, and code-mixed Hindi-English support. We default to Sarvam AI and Krutrim for Indic LLM workloads where local-language fluency matters, AI4Bharat’s IndicTrans2 and IndicBERT for translation and classification, and OpenAI or Anthropic via Azure or Bedrock for English-heavy tasks. For voice we use Bhashini-aligned models and ElevenLabs for synthesis. Custom Telugu fine-tuning pipelines run on ap-south-2 GPUs with corpora cleared under DPDPA. Output evaluation includes Telugu-native annotators, not just BLEU and ROUGE numbers, because Hyderabad enterprise buyers will catch tonal misses immediately.

A typical Hyderabad production AI model (fraud scoring, clinical adverse event detection, document intelligence, manufacturing vision, predictive maintenance) ships in fourteen to twenty-two weeks from kickoff, assuming clean historical data and DPDPA and sectoral documentation as part of scope. Week 1 to 4 is data audit, DPDPA classification, and a baseline model. Week 5 to 12 is modelling, challenger testing, and iteration. Week 13 to 18 is MLOps, monitoring, shadow mode deployment, and internal audit or quality review. Week 19 onward is staged rollout. Pharma GxP builds add four to six weeks for computer system validation. If you are pre-data or need labelling (CVIT-trained annotators are available locally), add six to eight weeks.

Most custom AI development qualifies for India’s Software Export benefits when delivered to overseas clients, including SEZ income tax holidays for units operating from HITEC City and Madhapur SEZ blocks (subject to sunset clauses under Section 10AA), and the Telangana ICT Policy offers capital subsidies, power tariff rebates, and reimbursements for eligible deals. R&D-heavy AI work can attract weighted deduction benefits under Section 35(2AB) when the unit is DSIR-recognised. We deliver time-tracked logs, technical narratives, experiment histories, and milestone documentation aligned with what your CA and the Telangana State Industrial Promotion Cell typically request. Final eligibility sits with your tax advisor, the income tax department, and ITePS Telangana.