GenAI Apps & Content Engines
We build generative AI into the places your team creates work: proposals, product listings, marketing copy, images, videos and reports. Output follows your brand voice, facts come from your own data, and a human approves what goes out.
What this covers
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Who it is for
Generative AI is only useful when it is reliable. We ground models in your approved content, add style guides and fact checks, and wire the output into the tools your team already uses, from CMS and CRM to design and video pipelines.
Discuss your requirementMarketing teams producing high volumes of copy and creatives
E-commerce brands writing thousands of product descriptions
Agencies and publishers scaling content without losing quality
Enterprises that want private GenAI tools instead of public chatbots
Capabilities
Blogs, ad copy, emails and product descriptions generated from briefs and catalogues, following your tone and keyword rules.
Product shots, banners and concept art generated with diffusion models, with brand colours, formats and approval steps built in.
Script-to-video pipelines with AI voice-over, avatars, subtitles and templated edits for explainers and social clips.
Bulk creatives from templates: resize, localise and personalise designs for every channel and language automatically.
Private assistants trained on your playbooks for drafting proposals, RFP answers, SOPs and reports.
Fact grounding, banned-claim filters, plagiarism checks and approval queues so nothing risky is published.
How we work
You always know what happens next, who is responsible and what you will receive at each stage.
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
We define outputs, tone, facts to respect and how quality will be scored.
Brand guides, examples and source data are structured for the model.
A working generator is tested on real briefs with your team.
Connected to your CMS, DAM, CRM or design tools with approval steps.
Acceptance rates and edits are tracked to keep improving quality.
Deliverables
Technology & standards
We recommend tools based on your scale, budget and existing systems, not on what is fashionable. Every choice is explained in the proposal.
Engagement models
A 3–4 week pilot on your own data with agreed accuracy targets, so you see real results before scaling.
Hardened integration, guardrails, monitoring and admin controls, delivered in milestones with a fixed quote.
Ongoing prompt and model tuning, evaluation runs, cost monitoring and feature additions on a monthly plan.
How pricing works: AI projects are priced in two stages: a fixed-price proof of concept, then a production quote based on what the pilot proves. Model and API usage costs are estimated upfront and billed at actuals.
Get a quoteFAQs
Yes. We build a brand voice guide with approved examples, words to avoid and formatting rules, and test the generator until your team accepts most drafts with light edits. Tone keeps improving from reviewer feedback.
You do. We use providers and open models whose terms assign output rights to the customer, and we avoid prompts or styles that create obvious copyright risk. Final publishing decisions stay with your reviewers.
It can if left ungrounded, which is why we feed it your catalogue, specifications and approved claims, add checks that flag unsupported statements, and route everything through human approval before publishing.
Running cost depends on volume and the models used. We estimate the cost per generated item during the prototype and mix large and smaller models to keep monthly API bills predictable.
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ExploreOn-site meetings across Delhi NCR and Haryana from our Rohtak office; remote delivery across India.
Reply within one business day
Share a few details. A senior specialist reviews them and schedules a call to discuss scope, timeline and cost, with no obligation.
Receive a preliminary project architecture, pricing tiers, and timeline estimate within 24 hours under strict NDA.